Miracle-dz/UniFAR-FTUs huggingface dataset:
An Overview of Transparency in Homogeneous Distributed Database System

— a transparency is some aspect of the distributed database system that is hidden from the user (programmer, system developer, and application program). A transparency is provided by including some set of mechanisms in the distributed system at a layer interface where the transparency is required. A number of basic transparencies have been defined for a distributed system. This paper present an overview of different types of transparency such as (Access, Concurrency, Location, Replication, Failure, Migration, Performance, Scaling, Execution, Configuration, Network, and Naming), and three type of levels transparency which is (Fragmentation, Location, and Local mapping). It’s important to realize that not all of these are appropriate for every system, or are available at the same level of interface. In this paper, if all transparency have an associated cost with others, matter for much research how the cost of implementing multiple transparencies interact and how to reduce operating system and communication stack. It considered that if using such type of approaches such as: Application Layer Framing and Integrated Layer Processing
Detection and Inpainting of Facial Wrinkles

- Professional software usually require a minimum level of user expertise to achieve the desirable results. Facial retouching is widely used in media and entertainment industry. In this paper, we present an algorithm to detect facial wrinkles/imperfections. The detection of wrinkles/imperfections can allow these skin textures to be processed differently than the surrounding skin without much user interaction. For detection, Gabor filter responses along with texture orientation field are used as image features. A bimodal Gaussian Mixture Model (GMM) represents distributions of Gabor features of normal skin versus skin imperfections. Then, a Markov Random Field model (MRF) is used to incorporate the spatial relationships among neighboring pixels for their GMM distributions and texture orientation. Once detected automatically, wrinkles/imperfections are removed completely instead of being blended or blurred. We propose an exemplar-based constrained texture synthesis algorithm to inpaint irregularly shaped gaps left by the removal of detected wrinkles/imperfections.
OPTIMISED ONLINE ALGORITHM FRAMEWORK FOR VIDEO SERVICES IN CLOUD WITH PERFECT QoE

— Cloud Computing plays a vital role in running video applications that is being provided by Video service providers (VSP) to run applications in cost effective manner. Virtual machine (VM) from multiple clouds has been rented by the video service provider based on the requestor’s location. The Virtual machine cost may vary in different places and also the request of the user is dynamic optimising the number of VMs of the same type rented from clouds in different places in a given timeframe is essential to achieve effective costing for VSPs. The main factor we have to consider while running video application is good Quality of Experience (QoE). We propose the problem as a theoretical optimization problem and to design a optimisation algorithm framework that is solved online. Theoretical analysis depicts that the online algorithm gives a solution better than the optimal solution produced through offline computing. We also given a comparative analysis of how the algorithm works for varied length and varied resolution.
Journal of Diabetes and Obesity

This study was carried out to assess the anti-hyperglycaemic effects if any of novel synthetic binary chromium (III)-amino acid complexes in a high sucrose (HS) induced insulin resistance (IR) and or impaired glucose tolerant male Sprague Dawley (SD) rat model. Aqueous solutions of chromium chloride hexahydrate (CrCl3.6H2O) and D/L amino acids were mixed in 1:3 molar ratios, refluxed at 80°C for 4 hours and the resultant crude greenish-violet solid was extracted with acetone, dried in a hot air oven and their elemental composition and structure were determined. The chromiumamino acid [Cr-(AA)3]complexes were administered orally(~ 45 μg/kg body weight/day up to 12weeks) to adult male SD rats in which IR and or impaired glucose tolerance were induced by feeding a HS diet. In line with literature reports, Cr-D-(Phe)3 complex improved insulin sensitivity and oral glucose tolerance in the HS fed rats. Interestingly, Cr-L-(Phe)3 complex also improved these parameters. Increased phosphorylation of insulin receptor substrate-1 and Akt and increased glucose transporter-4expression in skeletal muscle were associated with these changes suggesting modulation of insulin sensitivity by Cr-L/D-(Phe)3 complexes. Further, sub chronic administration of Cr-(AA)3 complexes significantly improved lipid metabolism. Modulation of oxidative stress and/ or antioxidant status of the animals seem to be associated with/underlie these beneficial effects in HS induced insulin resistant SD rats. *Corresponding Author: Dr. Raghunath Manchala, Scientist-F & Head, Division of Endocrinology & Metabolism, National Institute of Nutrition, Jamai Osmania, Hyderabad -500 007, Andhra Pradesh, India. Tel: 91-40-27197235/ FAX: 91-40-27019074; E-mail: mraghunath55@yahoo.com
Implementation of Some Speckle Filters on Digital Image and OCT Image

Optical Coherence Tomography (OCT) technology introduces speckle, an insidious form of multiplicative noise. Reduction of speckle noise is one of the post processing techniques to increase the quality of OCT images. Some of the existing speckle denoising filters were applied on digital image and on OCT image and their performances are compared in this paper. The objective evaluation of both the types of images was performed using various image metrics like peak signal to noise ratio, root mean square error and image quality index. The obtained results have been presented by filtered images, statistical tables and graphs.
Enhanced non-contact and continuous sensing of periodic bio-signs: extending sensor’s temporal bandwidth

Laser based photonic non-contact sensor can be used for continuous sensing of periodic vital bio signs by analyzing the temporal changes of the spatial back scattered secondary speckle patterns. This analysis allows extraction of nanovibrations of the inspected tissue (surface and in-depth) and associate it with various vital bio-signs. One of limitations for this type of sensing is the temporal bandwidth of the analyzing camera. It’s number of frames per second limits the maximal temporal bandwidth of the biological signals that can be sensed. I will show how to increase the temporal bandwidth in two ways. First by encoding the illuminating laser with orthogonal convolution codes-based patterns and using the fact that the to be sensed biological signals are periodic, in order to allow a significant enhancement of the bandwidth of the camera aiming to overcome the limiting factor induced by its low sampling rate. Second, I will show how sampling rate could be reduced when sensing blood flow-based bio-signs and by converting the temporal signals that are to be sensed into space. In the overall the proposed enhancements allow using much simpler sensors/cameras for extraction of biomedical information included in much higher temporal frequencies which can be much more informative for biomedical diagnosis and analysis.
PROBIOTIC BACTERIAL DNA INDUCES INTERLEUKIN-10 PRODUCTION BY HUMAN DENDRITIC CELLS VIA TOLL-LIKE RECEPTOR-9

Purpose: Dendritic cells regulate immune responses to microbial products. We assessed effects of bacterial DNA in the clinically-effective probiotic preparation, VSL#3, on activation, cytokine production and T-cell stimulatory capacity of human dendritic cells. Methods: Whole blood and enriched dendritic cells were cultured with bacterial DNA in the presence or absence of Toll-like receptor antibodies. Expression of Toll-like receptor 9 and activation markers (CD40, CCR7) on CD11c (myeloid) and CD11c (plasmacytoid) dendritic cells was analysed by flow cytometry. Cytokine production was assessed by intracellular staining and ELISA. Activation of naïve allogeneic CD4 T-cells was measured in mixed leukocyte reactions. Results: Probiotic bacterial DNA activated plasmacytoid and myeloid dendritic cells as indicated by enhanced CD40 and CCR7 expression. Probiotic bacterial DNA enhanced interleukin-10 production by myeloid dendritic cells using pathways involving Toll-like receptor 9 and inhibited dendritic cells’ ability to stimulate naïve T-cells. Conclusions: Probiotic bacterial DNA induces an immunoregulatory rather than a pro-inflammatory cytokine profile in dendritic cells, suggesting that beneficial effects of probiotic bacteria are mediated in part by their DNA. These results suggest that the release of bacterial DNA from the microflora as a result of physiologically occurring bacterial lysis may be involved in intestinal immune homeostasis.
Robots in the Danger Zone: Exploring Public Perception through Engagement

Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent research has shown that the public’s understanding of RAI can be negative or inaccurate. We believe effective public engagement can help ensure that public opinion is better informed. In this paper, we describe our first iteration of a high throughput in-person public engagement activity. We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector. We critique our methods and share interesting results into generational differences within the public’s view of the future of Robotics and AI in hazardous environments. These findings include that older peoples’ views about the future of robots in hazardous environments were not swayed by exposure to our exhibit, while the views of younger people were affected by our exhibit, leading us to consider carefully in future how to more effectively engage with and inform older people. ACM Reference Format: David A. Robb, Muneeb I. Ahmad, Carlo Tiseo, Simona Aracri, Alistair C. McConnell, Vincent Page, Christian Dondrup, Francisco J. Chiyah Garcia, Hai-Nguyen Nguyen, Èric Pairet, Paola Ardón Ramírez, Tushar Semwal, Hazel M. Taylor, Lindsay J. Wilson, David Lane, Helen Hastie, Katrin Lohan. 2020. Robots in the Danger Zone: Exploring Public Perception through Engagement. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI’20), March 23–26, 2020, Cambridge, UK. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/ 3319502.3374789
Farmers’ Knowledge on Pesticide Application in Vegetable Cultivation

The objectives of this study were to describe some selected characteristics of the vegetable farmers; to assess the extent of farmers’ knowledge on pesticide application in vegetable cultivation, and to determine the factors that significantly influences farmers’ knowledge on pesticide application in vegetable cultivation. The study was conducted with randomly selected 109 vegetable farmers in Ganna union under Jhenaidah sadar upazila of Jhenaidah district. A pre-tested interview schedule was used to collect data from the respondents during 10th February to 13th March, 2018. Knowledge on pesticide application in vegetable cultivation was the dependent variable and the dependent variable was measured by 15 different questions on knowledge on pesticide application in vegetable cultivation and the nine selected characteristics of the respondents considered as the independent variables of the study. Majority (56.8 percent) of the respondents had medium knowledge while 23.9 percent and 19.3 percent of them had low and high knowledge on pesticide application in vegetable cultivation. Three characteristics of the respondent’s viz. education, training in vegetable cultivation and extension media contact had significant positive contribution to their knowledge on pesticide application in vegetable cultivation. But farm size, land under vegetable cultivation, income from vegetable cultivation, organizational participation and time spend in vegetable cultivation had no significant contribution to their knowledge on pesticide application in vegetable cultivation.
A Survey On Binarization Of Historical Degraded Documents

There are lots of ancient documents which are badly degraded . it is very difficult to segment text from the document, as there is a variation between the document background and foreground. Binarization technique that addresses these issues using adaptive image contrast. The adaptive contrast map is first constructed for degrade document . the contrast map is them binarized and combined with canny’s edge map to identify text stroke edge pixel.
Robust object Recognition Using SURF feature model applied in NAO Robot

— Object recognition is one of the most important processes for robot soccer in the standard platform robot league. Main task of the vision system of robot soccer while playing is recognizing and tracking the objects like ball, goalposts, robots of the same team and rival robots in the game. The basic idea of several object recognition methods, especially in robot soccer and RoboCup environment, is to use the algorithms based on the color feature of pixels. One of the significant challenges in color feature-based algorithms is the illumination changes of an environment. Since colors are different in different illumination conditions and are influenced by environmental factors like noise, the vision system of a robot will be disturbed if the environment’s illumination changes. Therefore, in this paper a robust object recognition approach against illumination changes of an environment is proposed by using the matching algorithm based on SURF feature. Experimental results on 5 different datasets obtained from the top 5 teams of the world shows that the proposed approach has a good result which includes a recognition rate of more than 96% and an error rate of 4%.
A SURVEY ON TRUST BASED RECOMMENDATION SYSTEMS

- Recommendation systems are used to provide high quality recommendations to the users from large amount of choices. Accurate and quality recommendation is necessary in E-commerce sites. One of the most popular technique to implement a recommendation system is Collaborative Filtering (CF) [1]. It tries to find users similar to an active user and recommend him/her the items liked by these similar users. By the
A Case Report on Serum Leptin Levels among Type 2 Diabetic Patients in Dutse, North-West Nigeria

Leptin is a peptide hormone produced mainly by white adipose cells. It helps to regulate appetite, fat stores and predispose individual to type 2 diabetes mellitus and its complications. We aim to establish the variations in serum levels of Leptin in subject with type 2 diabetic and healthy individuals in Dutse, Jigawa State, North–West Nigeria. This study was conducted using eighty (80) volunteers (40 males, 40 females) diabetic patients attending the Diabetic Clinic of Rasheed Original Research Article Sulaiman et al.; ARRB, 11(3): 1-5, 2016; Article no.ARRB. 29570 2 Shakoni Specialist Hospital, Dutse, age and gender matched control groups. Anthropometric parameters such as weight, height, waist and hip circumferences, blood pressure and biochemical parameters (Leptin, FBG, glycated haemoglobin (HbA1c), total cholesterol, HDL cholesterol, LDL cholesterol, and triglycerides) were measured. Waist-to-hip ratio (WHR) and systolic blood pressure of the diabetic group were found significantly higher (P<0.05) compared with healthy control group. Mean serum Leptin levels of diabetic group (5.76 ± 0.33 ng/ml) was significantly lower (P<0.05) compared with control group (6.68 ± 0.27 ng/ml). Mean FBG and HbA1c of the diabetic and control groups were (9.32 ± 0.54 mmol/l, 10.69 ± 0.25 %) versus (4.18 ± 0.08 mmol/l and 6.37 ± 0.12%), respectively. Serum Leptin levels in diabetic females (mean = 6.09 ± 0.46 ng/ml) and controls females (mean = 7.46 ± 0.45 ng/ml) was higher compared with diabetic males (mean = 5.43 ± 0.46 ng/ml) and control males (5.90 ± 0.24 ng/ml). Similarly, Leptin has significantly positive correlation with BMI in both the diabetic (r=0.562, p<0.01) and control groups (r=0.466, P<0.01). Also a positive correlation was observed between Leptin levels and WHR in the control group (r=0.399, p<0.01). The study indicated a reduced leptin levels among diabetics compared to controls. Serum Leptin level appears to play a role in the aetiology and pathogenesis of type 2 diabetes and/or its complications.
Would You Mind Me if I Pass by You? : Socially-Appropriate Behaviour for an Omni-based Social Robot in Narrow Environment

Interacting physically with robots and sharing environment with them leads to situations where humans and robots have to cross each other in narrow corridors. In these cases, the robot has to make space for the human to pass. From observation of human-human crossing behaviours, we isolated two main factors in this avoiding behaviour: body rotation and sliding motion. We implemented a robot controller able to vary these factors and explored how this variation impacted on people’s perception. Results from a within-participants study involving 23 participants show that people prefer a robot rotating its body when crossing them. Additionally, a sliding motion is rated as being warmer. These results show the importance of social avoidance when interacting with humans. CCS CONCEPTS • Human-centered computing → User studies; Social navigation; • Computer systems organization → Robotic control. ACM Reference Format: Emmanuel Senft, Satoru Satake, and Takayuki Kanda. 2020. Would You Mind Me if I Pass by You? : Socially-Appropriate Behaviour for an Omni-based Social Robot in Narrow Environment. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), March 23– 26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374812
Internet of Vehicle using Safety Case

In India, mortality rates are increasing mainly due to road accidents. Many lives could have been saved if emergency service could get accident information and reach in time. The main aim of this project is to implement a system for upgrading the present technologies used in the vehicle security by developing a safety case. Safety case is used for continuously monitoring and storing data regarding the vehicle, which will be easy to discover the cause of accident by knowing the previous state of the vehicle. Our project is a combination of client, connection and cloud system. In this the status of horn, brake and indicator will be stored in Raspberry pi and data logger system. Our research has been targeted towards building an system for emergency rescue services in the event of a road accident. The project focuses on building a system which vehicle safety authorities can implement to enhance the reporting of vehicle crashes, provide post-crash analysis using motion sensors, record of the event in images and reduce the time it takes for emergency rescue to arrive at the crash location. We have achieved this using existing cellular network infrastructure already in place and also using GPS to pinpoint the exact location of the accident and send that data immediately to an emergency rescue authority using telegram and twilit service. Our main target was to build a low cost infrastructure that everyone can afford and use in their vehicle .
Content Based Image Retrieval with Log Based Relevance Feedback Using Combination of Query Expansion and Query Point movement

— This paper presents the Log based relevance feedback techniques, which combines two popular techniques of relevance feedback: query point movement and query expansion. From the past experiments, these two techniques are giving good results for image retrieval. But query point movement is limited by a constraint of unimodality in taking into account the user feedbacks. Query expansion gives better results than query point movement, but it cannot take into account irrelevant images from the user feedbacks. We combine the two techniques to profit from their advantages and to cope with their limitations. From a single point initial query, query expansion provides a multiple point query, which is then enhanced using query point movement. To learn the multiple point queries, the irrelevant feedback images are classified into query points which are clustered from relevant images using the query expansion technique. The experiments show that our method gives better results in comparison with the two techniques of relevance feedback taken individually.
MULTIPLE LINEAR REGRESSION MODEL OF INFLATION RATE IN

This paper investigates the problems of inflation in Sudan by adopting a multi-linear regression model of analysis based on descriptive econometric framework. The data for the study are from secondary sources comprising Gross Domestic Product, money supply , exchange rate within the lag length of forteen years spanning from Sudan, 1998-2013. The study suggests that the multi-linear regression model is probably the best tool for the evaluation of inflation phenomena in Sudan. The study found that, there is a positive and significant correlation between inflation, money supply and exchange rates in Sudan. It further found that, there is negative corrolation between inflation rates and the gross domestic product (GDP). It thus, emphasized that the government of Sudan should devise a fiscal mechanism to control money supply and should also develop a viable financial market in a manner that contributes significantly to minimize inflation in Sudan.
Link Failure Detection in Wireless Mesh Network: Survey

: A wireless mesh networks is one of the most advanced wireless network is used for the wireless communication.Recent application of the WMNs is used to construct smart cities to provide broadband internet services to the users. WMNs implemented by IEEE 802.11, 802.15, 802.16 etc. Because of the mesh topology WMNs may suffers from the frequent link failure which degrades the network performance. To overcome of this problem, various link failure detection technique is used. The proposed survey paper presents the review of the various detection technique used to recover the link failure in WMNs.
Multilevel Inverter with Three Stage Hybrid Cascading using PWM Control Method

The inverter power circuit is made up of 18 level hybrid cascaded multilevel scheme. The three hybrid inverter stages are the high, medium, and low voltage stages. The high-voltage stage is made of a threephase conventional inverter to reduce dc source cost and losses. The medium- and low voltage stages are made of three-level inverters constructed using cascaded Hbridge units. The aim of this control is to avoid undesirable high switching frequency for high and medium-voltage stages despite the fact that the inverter’s dc sources are selected to maximize the inverter levels by eliminating redundant voltage states. Switching algorithms of the high and medium-voltage stages have been developed to assure fundamental switching frequency operation of the high-voltage stages and not more than few times this frequency for the medium-voltage stage. The low-voltage stage is controlled using PWM control to set the order of dominant harmonics as desired. The main and H-bridge cells are fed by isolated dc sources of 9V s, 3V s, and V s. This voltage ratio provides 18-level inverter. In this design, the high voltage stage has only one dc source that operates with reduced current ripple compared to the three dc sources of CHB design. The inverter has been designed with one main dc source to reduce the dc supply cost, and the supply voltage ratio has been selected to maximize the number of symmetrical levels.