Miracle-dz/UniFAR-FTUs huggingface dataset:
A new Method for Optimizing Energy Efficiency of Embedded Systems

Several studies have shown that about 40% or more of the energy consumption on embedded systems that are based on microprocessor relates to cache. In technology with micrometer scaling, dynamic power was the primary contributor to total power dissipation of a CMOS design, but in technology with nanometer scaling, the share of leakage power in total Power consumption of energy continues to grow. In this paper we concentrate on the selection of optimal cache size for low energy consumption embedded systems. Our study is based on three different technologies on embedded systems. Results show that cache size should change for minimizing energy consumption in different technologies due to the increase of leakage power and decrease of dynamic energy as technology is shrinking. Our studies reveal that cache size changes depend on the rate at which cache miss increases when reducing the cache size. Our experiments show that through technology-aware cache configuration selection, we can reduce the energy consumption by 54% in average and maximum 75%.
Clustering For Collaborative Filtering Application in Web Recommendations

— This paper mainly presents about the explosion of various contents generated on the web, Recommendation techniques have become necessary. Many types of data sources are used for recommendations and these data sources can be modeled in the form of graph. Aiming at providing the general limit on mining web graphs, we illustrate the generalization of different recommendation problems into our graph diffusion framework which can be utilized in many recommendation techniques on the World Wide Web including query suggestion and image recommendation.
Evaluating Major Issues Regarding Reliability Management for Cloud-based Applications

Summary Cloud computing, as a prominent and promising solution to many existing business needs, is expanding at thrilling speed. Thereupon, Cloud providers are continually progressing to provide with more complex services, and request handling approaches. This was due to the growing need in the market, as there is a movement from traditional monolithic applications to an increased composition of micro-services. Increased complexity on the grounds of deployment and runtime management has resulted in inevitable occurrences of failure, which has paid off with declining reliability over the Cloud. Along these lines, it becomes necessary to evaluate major issues regarding reliability management on the Cloud. These issues will guide on how to improve reliability management for cloud applications. On the grounds of the Cloud, an inherently unreliable environment, it is always challenging to ensure a continuous reliability. In this paper, major issues regarding reliability over the cloud, root causes, taxonomies of major failure subjects, with provided recommendation on further research and solution to address such problems will be discussed.
Machine learning based 2D pose estimation model for human action recognition using geometrical maps

: Human action recognition has been a most emerging topic in computer vision because of its several applications like surveillance cameras, human machine interaction and video retrieval. Later human action recognition got better results using machine learning algorithms when compared to computer vision algorithms. In next level pose estimation technique has been introduced and it has drawn more attention for its ability to segment a human body and for detection of joints. Now, in this paper we are developing a human action recognition framework using pose estimation to extract geometrical features and these features are inputted to a sequential convolution neural network for recognizing action performed by the subjects.
MOLECULAR MARKER ASSISTED STUDIES ON GENETIC DIVERSITY IN BRASSICA SPECIES

Http://www.granthaalayah. com©International Journal of Research -GRANTHAALAYAH [63-71] MOLECULAR MARKER ASSISTED STUDIES ON GENETIC DIVERSITY IN BRASSICA SPECIES Rohit Sharma*, Sandeep Kumar *1, 2 Department of Biotechnology, NIET, NIMS University, Jaipur, INDIA Abstract: Genetic diversity of seven genotypes of Brassica campestris was evaluated by using RAPD primers. A total of 15 DNA bands were revealed wherein 11 polymorphic bands were observed. Highest polymorphism was showed by the primer OPA 7 (87.50%) and lowest by the primer OPA 9 (57.14%). Relatively higher genetic diversity was found among the collected individuals. A maximum similarity based on Jaccard coefficient was showed highest and lowest value (0.750) and (0.364) respectively. The UPGMA cluster analysis revealed three main group of clusters in which one group was found to be sub grouped and other two main groups were found to be divergent. Cluster analysis revealed distant relationship among all the cultivars used in this study. Based on our study, RAPD analysis proved to be a useful tool in assessing the genetic diversity of leafy Brassica germplasm. These results also proved that RAPD markers are highly suitable and efficient tool for genetic characterization of many plant species including oilseed rape and other species.
Performance Evaluation of Server Consolidation Algorithms in Virtualized Cloud Environment with Constant Load

— Server Consolidation is an approach towards the efficient usage of computer server resources in order to reduce the total number of servers or server locations that an organization requires. To prevent the problem of server sprawl, server consolidation aims at reducing the number of server machines used in the data centers by consolidating load and enhancing resource utilization of physical systems. Server consolidation through live migration is an efficient way towards energy conservation in cloud data centers. Virtualization provides the ability to migrate virtual machines (VM) between the physical systems using the technique of live migration mainly for improving the efficiency. Live machine migration transfers “state” of a virtual machine from one physical machine to another, and can mitigate overload conditions. Although a lot of literature exists on server consolidation, a range of cases involved have mostly been presented in isolation of each other. The aim of this research paper is to present the details of the server consolidation algorithms over a common software framework and their usage toward dynamic resource management in the virtualized cloud environment. Here, we present a performance analysis of these heuristics and fundamental insights obtained when constant load is generated over the servers, aimed at reducing server sprawl, reducing power consumption and load balancing across physical servers in cloud data centers.
RELATIONSHIP BETWEEN LOWER LIMBS LENGTH AND VERTICAL JUMP IN YOUNG VOLLEYBALL PLAYERS

The capacity to jump is a fundamental ability required in many sports [Scott, Briscoe, Craig, Markowski, Samuel, Saville, 2003]. Coaches and athletic trainers use the VJ test to determine an athlete’s physical ability and to measure the outcome of a training program [Young, Wilson & Byrne, 1999; Cook, Malliaras, De Luca, Ptasznik, & Morris, 1999 ; Cook, Malliaras, De Luca, Ptasznik, & Morris, 2005]. The capacity of jumping was measured for the first time by Sargent in 1921 [Sargent, 1921]. VJ is considered one of the standardized protocol tests which is can used to evaluate the anaerobic power [Van Praagh, 2007].
Improving Recommendations Through Re-Ranking Of Results

— World Wide Web has become a good source for any kind of information. People of all walks of life depend on it for their information retrieval through queries. However users get huge number of records or recommendations. It causes problem to users as they do not see the intended results immediately. Instead they have to spend some time browsing for intended content. This kind of user experience is not good. For this reason there is a need for improving recommender systems. Ranking is one of the techniques for improving search results. Many ranking techniques came into existence. The recommender systems are using them. In this paper we propose a re-ranking algorithm that improves the ranked results that will give rich user experience. We build a prototype to show the efficiency of the proposed approach. The empirical results revealed that the application is very useful.
OPPORTUNISTIC ROUTING IN COGNITIVE RADIO NETWORKS USING REINFORCEMENT LEARNING

- Cognitive radio (CR) technology is rapidly developing these days due to its capability of adaptive learning and reconfiguration. Thus, using Cognitive Radio Networks (CRNs) spectrum efficiency can be increased by allowing the secondary users (SUs) to access the licensed band dynamically and opportunistically without interfering the primary users (PUs). Daniel H. and Ryan W. Thomas, define the CRNs in the context of machine learning as the network which improves its performance through experience gained over a period of time without complete information about the environment in which it operates. Thus, the dynamism and opportunism can be learnt by reinforcement learning, which is concerned with how software agents or learning agents ought to take actions in an environment so as to maximize some notion of cumulative reward. The paper proposes a routing scheme that uses Q-learning, which is the most widely used RL approach in wireless networks. In Q-learning, the learnt action value or Q-value, Q (state, event, action) is updated using the reward and is recorded. For each state-event pair, an appropriate action is rewarded and its Q-value is increased. Hence, the Q-value indicates the appropriateness of an action selection in a state-event pair. At any time instant, an action is chosen by the agent in such a way that it maximizes its Q-value. The reward corresponds to performance metric such as throughput.
α-Klotho and catalase expression in essential hypertension

α-Klotho, an anti-aging gene, has emerged as novel inhibitor of oxidative stress at cellular level. α-Klotho inhibits oxidative stress by inhibiting IGF-1/InsulinFOXO (Forkhead box-O transcription factors) dependent deactivation of the antioxidative enzymes. The present study aimed at determining α-Klotho and Catalase gene expressions and Catalase activity in peripheral blood mononuclear cells (PBMCs) of essential hypertensive patients as compared to normotensive healthy controls in Indian population. Forty-eight hypertensives and 48 age, BMI-matched controls were recruited. Gene expression was evaluated by quantitative Real-Time PCR. Catalase enzyme activity in PBMCs and soluble α-Klotho levels in serum were detected using Enzyme-Linked Immunosorbent Assay. Gene expressions for α-Klotho and FOXO1 were significantly low (p<0.001 and p=0.002, respectively) in patients as compared to controls. Catalase expression was also low in hypertensive patients but did not reach statistical significance. However, there was strong positive correlation between ΔCt-based gene expression of α-Klotho and Catalase in patients (p<0.001) as well as controls (p=0.008). Positive correlation was also observed between gene expression of FOXO1 and that of α-Klotho (p=0.006) and Catalase (p=0.001) in hypertensives. Catalase activity in patients were significantly low (p<0.001) as compared to controls and positively correlated with soluble α-Klotho levels (rs=0.32, p=0.027), which were also 30.2% lower (p<0.001) in the patient group. Present study demonstrates low soluble levels and gene expression of anti-aging protein α-Klotho in hypertensive patients. α-Klotho may influence Catalase expression in essential hypertension through its effect on FOXO1 expression.
A Novel Nine-Switch Nine-Level Hybrid Inverter

Voltage Source Multilevel Converters (VSMCs) have been developed in the last years for high-power applications, due to their capability to work at medium-voltage levels without power transformers. With higher number of voltage levels, smoother AC voltage with reduced harmonic distortion can be generated by the multilevel inverter. Symmetrical inverter topologies allow expanding the topology to an arbitrary number of levels by stacking basic cells. But it results in more complexity and becomes impractical when the number of voltage levels increases. Also these topologies suffer a natural voltage unbalancing on the DC bus capacitors, which requires extra hardware or intelligent control of the switching sequences in order to counteract this effect, a novel nine-switch nine-level hybrid inverter combining the features of the conventional flying capacitor type, diode-clamped type converter and H bridge topology is proposed. The proposed novel topology employs only nine active switches, two discrete diodes and three capacitors. This work also presents the comparative study of control strategies using various Multicarrier Pulse Width Modulation techniques. Performance factors such as THD, efficiency, rms value of fundamental component etc. are measured for two modulation techniques and the results were analyzed. The simulation of nine-switch nine-level hybrid inverter is done by using MATLAB/ SIMULINK software. Arduino is used for generating control pulses for the switches. The prototype of proposed inverter is setup and verified its performance.
A Survey on Partitioning Skew Diminishing Techniques in Hadoop MapReduce Environment

: In the era of Big Data, it creates large size of structured and unstructured data. MapReduce is an effective tool for parallel data processing. One significant issue in practical MapReduce applications is data skew: the imbalance in the amount of data assigned to each task. This causes some tasks to take much longer to finish than others and can significantly impact performance. Parallel data processing is the spirit of the Apache’s Hadoop. Hadoop is an open source execution of Google’s MapReduce schedule. It has two components. Hadoop Distributed File System (HDFS) for storing data part and MapReduce for processing the data part. MapReduce has become a popular programming model for constructing data processing applications. While being widely used, existing MapReduce schedulers still suffer from an issue known as partitioning skew, where the output of map tasks is unevenly distributed among reduce tasks. It causes most of the tasks to take much longer to finish than other tasks and can significantly impact on performance. This paper reviews the types of partitioning skew and several skew diminishing techniques to solve these issues.
DESIGN MODIFICATION IN HEAT EXCHANGER TWISTED TAPE FOR HEAT TRANSFER ENHANCEMENT- A REVIEW

Heat exchangers are very much essential industrial as well as domestic equipment used every day. Overall performance of any machine and many systems as a whole depends on the performance of a heat exchanger. To improve the performance of a heat exchanger it is needed to improve the heat transfer phenomena of a tube. Number of researches has been done to develop devices or means to enhance the performance of a heat exchanger. The most successful development of a component for the most efficient enhancement of heat exchanger performance is development of twisted tape inserts for heat exchanger tubes. It increases flow path of the fluid inside the tube so that more and more and more heat can be transferred from the tube. At the same time due to this twisted tape insert turbulence of the flow inside the tube can be increased. This increase in turbulence will in other way decrease the overall efficiency of the heat exchanger. So optimum design of tube insert is very essential for having maximum efficiency.
STRUCTURAL EQUATION MODELING APPROACH IN EXPLAINING THE RELATIONSHIP BETWEEN PARENT INVOLVEMENT IN EDUCATION AND HIGH SCHOOL STUDENTS’ ACADEMIC ACHIEVEMENT: MEDIATOR ROLE OF STUDY

Determining the factors affecting students’ success helps educational policy makers, educators and parents increase learning and improve academic achievement by development and implementation of educational, social and school programs. This study was performed aiming at providing an interactive approach to assess the effects of parent involvement on academic achievement. Regarding its objectives, this research is of correlation type, studied with structural equation modeling approach using LISREL8.80 and SPSS-22 software. The statistical population includes all the high school students in the city of Kashmar in 92-93 academic year. The number of samples in this study was estimated to be 375 individuals. Since the questionnaire of parent academic involvement was to be filled by parents, 375 parents (a parent, either father or mother) Ahi.GH et al Research Article 2 IJBPAS, December, 2015, 4(12), Special Issue of students included in the sample were considered as sample. The parental involvement questionnaire (based on parents’ reports), the parental involvement questionnaire (based on students’ reports), subscale of study management, Martin’s motivation and educational involvement questionnaire, Perceived Learning scale, and academic achievement was used to collect information. In order to analyze research data, structural equation modeling was used to assess the hypothetical model. The results showed that the proposed model has an acceptable fit to the data. Fitness indexes, including GFI (Goodness of Fit Index), AGFI (Adjusted Goodness of Fit Index ), CFI (Comparative Fit Index), NFI (Normed Fit Index), IFI (Incremental Fit Index), NNFI (Nonnormed Fit Index), RMSEA (Root Mean Square Error) were in a significant range. Additionally, trimming and modifying the model based on the modification indices indicated a better fit of the model.
A survey on video classification techniques

-There are many videos available in this present day. To help the viewers to find video of their interest, that started to work on methods of automatic video classification. In this paper we survey the video classification literature. We find three main approaches for classification as: text, audio and visual. And then compared all of that approaches. We conclude with ideas for further research.
Active Contour Based Segmentation for Defect Identification in Glass Sheet

-Defects on glass sheet reduce the quality of glass and demean to manufacturers. Several defects are produced like bubbles and inclusions, Stone and sand particles, Water stains, Scratches and cracks etc. It’s not possible to inspect large no & bulky glasses manually. A set of digital image processing algorithm is used to detect the defective glass sheet. In this paper we have purposed region-based active contour technique. In the defect detection algorithm, the color space conversion of the image is carried out. As a result of the visibility test the RGB color space is chosen for the image at the input to the segmentation stage. Further RSF energy function is calculated in terms of contour and data fitting functions. This energy is then incorporated into a variation level set formulation with a level set regularization term. Then the data fitting functions are calculated which guide the motion of the contour and final contour is obtained. The image is then inverted and the defective part of the image is segmented out. Finally the defect has been identified. Purposed method has limitation of false edge detection. To overcome the said limitation canny edge detection algorithm is purposed. Keyword:-Glass defects, Region-based segmentation, RSF energy function, Canny edge detection.
A study on microbial diversity of dairy effluent and its impact on growth of different plant species

With increasing industrial development, safe disposal of industrial effluent has become the more ecological challenge. Finding suitable eco-friendly techniques for the potential utilization of these released effluents as a source of nutrients becomes essential. The present investigation was carried out to screen the effect of different stages of dairy effluent on the germination index of Vigna radiata, Oryza sativa, Vigna mungo, Sesamum indicum and Arachis hypogea. The findings revealed a remarkable effect in germination index with primary treated dairy effluent when compared with the other stages of the dairy effluent in all the plant species except Arachis hypogea. Further work was carried out to study the effective and suitable concentrations (25%, 50%, 75%, and 100%) of dairy effluent in promoting germination index, growth and biomass of different plant species. Biochemical parameters such as chlorophyll and protein were estimated. Chloride and sulphate content of the seedlings were also analyzed. The dairy effluent showed a favourable enhancement on the growth and biochemical parameters at low concentration (25%). It was observed that with an increase in effluent concentration there was a corresponding decrease in seedling growth and biomass. Microflora of the dairy effluents were isolated and characterized to study the frequent distribution of bacterial and fungal isolate which would support the degradation of organic and inorganic nutrients thereby influencing its growth and on the growth of the plant.
Differential organ toxicity in the adult zebra fish following exposure to acute sub-lethal doses of 10 nm silver nanoparticles

The novel anti-microbial properties of silver nanomaterials have made them desirable for use in health and medicine. However, prior to in vivo usage of any material, a thorough understanding of bio-distribution and potential toxicity is required. The majority of the toxicological data for silver nanoparticles (Ag-NPs) is still primarily from single-cell culture models, which can often be misleading and lack in vivo correlation. To develop a greater understanding of the fate and interactions of Ag-NPs within a living organism, we administered Ag-NPs to adult zebrafish via the intramuscular route, a common medical administration site, and tracked the fate and toxicity. Although at the doses used in the study there was no death, silver was detected in many of the major organs of the zebrafish, indicating that dispersion occurred from the site of inoculation. The heart, gall bladder, spleen, and kidney all demonstrated varying degrees of damage due to the nanoparticles, and further evaluation identified inflammation caused by the presence of silver as the cause, suggesting that toxicity may be a factor if Ag-NPs are used in a clinical setting.
DESIGN AND IMPLEMENTATION OF A LOW COST INVERTED PENDULUM STRUCTURE FOR EXPERIMENTATION PURPOSES

— Main aim is the stabilization of an inverted pendulum using an economical procedure. This is done by designing an inverted pendulum structure, control mechanism and motor driving circuitry. The other main focus is to enable horizontal motion of pendulum while being oscillating about its axis. Conveyor mechanism is used to fulfill that requirement. The last objective is to create a Personal Computer (PC) based Graphical User Interface (GUI) and inter-communicating hardware using a microcontroller. The GUI design must provide a convenient interface with the hardware which will allow the user to set the position of pendulum and also to plot its response. The microcontroller provides two kinds of services: to control the horizontal position of pendulum and to build an interface between the hardware and PC. The controller collects the incoming real time information and send it serially to the PC which plots it in GUI using MATLAB.