Miracle-dz/UniFAR-FTUs huggingface dataset:
A CS based Secure Watermark Detection and Privacy Preserving Storage Framework

: When data owner outsource data storage then privacy is main concern of these data or when processing on third party computing service like Cloud. In these studies we define cloud application scenarios it has required perform watermarking detection and privacy preserving multimedia data storage simultaneously. We proposed as using secure multiparty computation described the compressive sensing CS based framework protocol to address such a requirement. For the secure watermark detection in CS domain to maintaining the privacy in our studies we are presented watermarking pattern and multimedia data are presented. CS matrix and the watermark pattern is protected by the MPC protocols under the semi-honest security model during the CS transformation. We specify the watermark detection performance as given target image size of CS Matrix. Watermarking detection performance can be validate by the experiments. As per our analysis and experimental result in CS domain secure watermarking detection is feasible.
Using System Dynamics to Simulate the Management of Operation and Maintenance of Ship Machinery under a Port Availability Constraint

The total cost of ship machinery operati on (CT) must be kept at a minimum value while respecting the need for failure. This paper propose s a model to minimize the CT by endeavouring the value of minimum Reliability Index (RI) of the machinery. The minimum RI is the level of reliability of machinery where we need to take maintenance action after some period of operation time. The changes of minimum RI causes the changes in the composition of CT, including running cost (Cr), maintenance cost ( Cm) and downtime cost ( Cd). This paper discusses the operation of pumps which are installed in the cooli ng system of a ship’s main engine. As constraint, the maintenance of the pumps is assumed to be only possible in one particular available port. This study utilizes System Dynamics (SD) to construct two kind s of proposed models of machinery operation. They are model 1, without forecasting and model 2, with forecasting of minimum RI. Model 1 results in minimum CT, while model 2 reaches a CT lower than the outcome of model 1.
An Infrared and Raman Spectroscopic Study of Yellow Gypsum Synthesized from LD Slag Fines

Submit Manuscript | http://medcraveonline.com rate of about 125 kg/t of the steel produced which leads to piling of the slag in the plant. This slag is generally recycled in a waste recycling plant (WRP) so as to separate the magnetic and the nonmagnetic portions by means of mechanical crushing and magnetic separation. The magnetic portion is then recycled and used in the primary steel making process, whereas the non-magnetic portion is further processed at the WRP and stocked separately. This nonmagnetic or reject portion of the slag currently has applications in the road construction sector where it is used as a replacement for aggregate [1-4]. Carbon dioxide sequestration using LD slag has also been an area of growing research [5]. The slag is also useful as an excellent replacement of commercial lime used in fluxing of sinter. Thus, the piling of the reject slag is avoided and conservation of natural resources is also ensured [6]. However, with this high rate of generation of LD slag (about 125 kg per tonne of steel), these applications are not sufficient and further value addition of the slag needs to be explored.
Hybrid Approach for Face Detection Using Skin Color Based Segmentation and Edge Detection

: In this paper, we propose a technique to efficiently detect human face in color images with varying illumination conditions. The strategy consists of modeling the distribution of skin colors gaussian fitted skin color model and segmenting the image into skin and non-skin parts, using threshold values that are computed automatically by an adaptive technique. Here we show that a mixture model of gaussians can provide a robust representation of the human skin color to accommodate with a lot of color variations. Using images taken from the internet, containing persons with various skin-color types in different illumination conditions, experimental results show that the proposed method can cope with a various range of illumination situations and complex backgrounds,where skin color based segmentation can segment the skin regions of human face and separated the non-skin regions and after that using edge detection operators(canny and prewitt) , which detect the face regions while reducing the noise around that region. In this way this hybrid approach provide us better system to detect the face region.
Review of Automated Detection for Diabetes Retinopathy Using Fundus Images

: Diabetic retinopathy is a medical condition where the retina is damaged because fluid leaks from blood vessels into the retina. Ophthalmologists recognize diabetic retinopathy based on features, such as blood vessel area, exudes, hemorrhages, microaneurysms and texture. In this paper we review algorithms used for the extraction of these features from digital fundus images. Furthermore, we discuss systems that use these features to classify individual fundus images. The classifications efficiency of different DR systems is discussed. Most of the reported systems are highly optimized with respect to the analyzed fundus images, and that a generalization of individual results is difficult. However, this review shows that the classification results improved has improved recently, and it is getting closer to the classification capabilities of human ophthalmologists.
ASSESSMENT OF LENGTH OF HOSPITAL STAY

Background & Objectives exacerbations which may lead to enhanced morbidity and mortality mood disorders may lead to an increased risk of hospitalization and re the time course and recovery from COPD exacerbation is important in standardizing the length of treatment, in planning appropriate follow up and decreasing loss of working days of the patient. Material and Methods: depressive symptoms with acute exacerbation of COPD (e Pulmonary Medicine, SGT Medical College, Results: 9.08±4.76 days . There was no significant difference in the length of s age groups. The LOS varied significantly between different GOLD stages. The patient who had a history of admission for twice or more in the past 1 year or had a mortality have a greater mean LOS as compared to patient with Conclusion: greater mean LOS as compared to patient with just one or no hospitalization in the past.
Programmable Time to Digital Converter for Nuclear Timing Spectroscopy System

The paper describes a new method of time interval measurement using digital technique. Incoming time interval T1 between START and STOP pulse is converted to equivalent voltage V1 using the ramp generator and further elongated into time period T2 using the ramp of opposite polarity. Time period T2 is made sufficiently long so that it can be counted using crystal controlled oscillator and a counter. TDC offers time interval measurement range upto 3276.8 μs. Improved resolution of 25 ns has been obtained using clock frequency of 20 MHz. Designed TDC is programmable, hence range of time interval measurement can be changed by selecting proper ramp slope. TDC makes use of 16 bit dual, parallel, multiplying DACs to generate precise currents which decide ramp slopes. Temperature drift and reference voltage drift is self compensated. Keywords— Time To Digital Converter, Nuclear Timing Spectroscopy System, Time Interval Measurement Introduction
Acute stroke therapies: Title: Emergency administration of abciximab for treatment of patients with acute ischemic stroke: Results of an international phase III trial. Abciximab (a chimeric mouse/human monoclonal antibody with a high affinity for platelet glycopro

Problem statement: Stroke ranks as the third leading cause of death a nd the leading cause of serious, long-term disability; estimated direct and indirect cost of stroke for 2009 was $68.9 bill ion. Approach: The objective of this review was to examine the eff ectiveness of emerging pharmacotherapies in patients with acute ( ≤2 weeks), sub-acute (2-12 weeks) and chronic ( ≥12 weeks) stroke studied in Randomized Control Trials (RCT’s) published in 2008. Medline search was performed to identify all RCT’s in acute, sub-acute and chronic stroke treatment in the year 2008. The search strategy used for PubMed included key words such as Randomized Controlled Trials (RCT), Stroke OR cerebrovascular disorders OR CVA, Ischemi c stroke OR ischemia, Hemorrhage OR intraparenchymal hemorrhage OR subarachnoid hemorrh age, Thrombolytics OR tissue plasminogen activator OR alteplase OR t-PA, Diabetes mellitus O R hyperglycaemia, Hypertension OR raised blood pressure, Aspirin OR anti-platelets, Warfarin OR an ticoagulant, Antidepressants, Neuroprotectants d Coiling OR stents OR endovascular. Search limits in cluded Human, Adult (age >19 years), English language and Publication date: 1/1/2008 to 12/31/20 08. Results: Eleven categories of 21 RCT’s were found and analyzed. Conclusion/Recommendations: There is sufficient evidence to suggest that: (1) extending the time-window for administration of alt eplase from 3-4.5 h after stroke onset does improve clinical outcome; (2) treatment of hypertension in the elderly does reduce rate of stroke, cardiac fai lure and death from stroke and (3) at present there are no neuroprotectants on the horizon.
Liver Disease Analysis And Accuracy Prediction Using Machine Learning Techniques

The liver disease is caused by the person who takes too much of alcohol, it is easily affected disease. Data miners have high interest to diagnosis the liver disease disorder, using the decision tree tool, the accuracy of the decision tree has been limited due to insufficient and small data set. Maximum number liver disease patients are in the age group of 41-55 years. The ratio between the men and women are6:1 ratio. To generate more accurate decision tree result for liver disease disorder , the paper suggested a method called sampling. In minor class to compensate the insufficiency of data is very effective. An experiment are done with two decision tree algorithms J48 and CART and the data set UCI machine learning repository for liver disease disorder and shows the validity of the method.
Improvement of Crop Plants by Molecular Markers

Conventional plant breeding is time consuming and very dependent on environmental conditions. Breeding a new variety takes between eight and twelve years and even the release of an improved variety cannot be guaranteed. Hence, breeders are extremely interested in new technologies that could make this procedure more efficient. Molecular marker technologies offer such a possibility by adopting a wide range of novel approaches to improving strategies in plant breeding.
Implementation of Enhanced New Stable Election Protocol-ENHSEP in NS2 Platform

- Among many wireless technology wireless sensor network place a prominent place in the present world and also in future because of its application in almost all the fields. In order to achieve a network with better efficiency many routing protocols are proposed for the communication among cluster node in WSN. The protocols are proposed in such a way that it has to satisfy all the aims of the design of the protocol such as
Design of High Speed Area & Power Efficient Parallel Prefix Adders with QCA Majority Logic

As transistors reduce in size more and more of them can be accommodated in a one die, thus growing chip computational capabilities. However, transistors cannot find much lesser than their current size. The quantum-dot cellular automata (QCA) approach represents one of the possible solutions in overcoming this physical edge, level while the propose of logic modules in QCA is not always straight forward. In this brief, we propose some adder that out performs all state-of-the art competitors and achieves the best area-delay tradeoff.
Automatic Visual Concept Detection in Videos: Review

- The video contains various objects, scene and action. Due to the various concept presents in video event detection is becoming difficult. Traditionally, visual concept detection carried out some significant improvement. For instance, the concept is defined by human and it has only one classifier. But this process is manual so it is time consuming. Automatic visual concept detection tries to imitate this process and perform the concept learning automatically. The aim of this study is to develop an automatic system that can learn visual concepts from the video. This detection is divided into three main areas i.e. event analysis, attribute concept and transfer knowledge respectively. In this paper various methods are like domain selection machine (DSM), cross-domain learning, feature and model selection etc. be reviewed .
A spatial analysis of breast cancer incidence in Ashanti region, Ghana

This paper provides a spatial analysis of breast cancer incidence in the Ashanti region area during the period of 2010 to 2011. Breast cancer disease has prevalence in Ghana particularly in the major cities including Ashanti region. Geographical units vary in shape and size and incidence count is non homogeneous in nature. For this reason, assigned area to point kriging approach is adopted as methodology. There is a large range of spatial autocorrelation in ages above 40 years than that of below 40 years in the various administrative units. The surrounding administrative units in the regional capital are less endemic for women whose ages are above 40 years. However, for those whose ages are below 40 years in all the surrounding administrative units are endemic but the capital is not. Most of the endemic districts share boundaries with Kumasi metropolis, the regional capital, where the only Teaching hospital is located. Most of the districts do not have good health facilities where women report for early treatment.
Fingerprint Based Attendance System Using LabVIEW and GSM

: Attendance is one of the work ethics which is valued by most employers. In educational institutions also, attendance and academic success are directly related. Therefore, proper attendance management systems must be in place. Most of the educational institutions and government organizations in developing countries still use paper based attendance method to monitor the attendance. There is a need to replace these traditional methods of attendance recording with a more secure and robust system. Fingerprint based automated identification system based are gaining popularity due to unique nature of fingerprints. In this paper, a novel approach for fingerprint based attendance system using LabVIEW and GSM technology is proposed. Optical fingerprint module is used for capturing and processing fingerprints. Features such as recording of attendance in a text file along with the date and time of attendance are also incorporated in the system. GSM technology is used to intimate the parents about student’s attendance. The proposed system is implemented in the university and its performance is evaluated based upon user friendliness, accuracy, speed, security and cost.
Hardware-Efficient Decimation Filter Design of Zero-IF Receiver for Wireless Network

: The digital scheme realized in this work emphasize on hardware-efficient decimation filter implementation along with their use in the processing of the digitized baseband signal of Zero-Intermediate Frequency (IF) Receiver. This technique allows quick selection of filter coefficients which will yield minimum error in the frequency response characteristics with less hardware complexity in terms of the number of hardware components, especially adders. The overall decimation filter is designed for Digital European Cordless Telephone (DECT) standard specifications. The performance of the entire system is analyzed by counting the number of adders used for each filter coefficient. In this simulation, it is proved that this type of design requires only 15 adders, which is less than 14.2% for droop correction filter and 40% for the Half-band filter.
A study of multiple resistance and role of extended spectrum -lactamases in environmental Pseudomonas isolates

The activity of 13 antimicrobials was studied, to determine multiple antimicrobial resistances, against 208 Pseudomonas strains (125 Pseudomonas sp and 83 Pseudomonas aeruginosa) isolated from river and aquaculture samples. Isolates were confirmed with API 20 NE. Isolates from both sources reported high resistance rates for similar antibiotics. These were: Ampicillin (100, 100%), cefuroxime (96.8, 81.9%), streptomycin (93.6, 78.6%), cefotaxime (93.6, 77.1%), for river water and aquaculture samples respectively. While resistances were high for ofloxacin, norfloxacine, mezlocillin, ceftazidime, kanamycin and enrofloxacine (70 to 85.5%) among the river water isolates, they were moderate among the aquaculture isolates (50 to 69.4%). Ninety seven (97.2%) percent of isolates from river water and 78.9% from aquaculture were resistant to at least three or more antimicrobials and were termed multiresistant. Results of plasmid profiling showed the presence of multiple plasmids ranging in size between 639 and 11845 bp. Preliminary tests for -lactamase detection by double-disk approximation were positive with high resistances to imipenem, aztreonam, cefpodoxime and cefotaxime. PCR of amplified genomic DNA was positive for the detection of blaSHV and blaTEM -lactamase genes. However, up to 50% of all isolates tested were found to be resistant to the -lactamase inhibitor of combination amoxicillin+clavulanic acid. The results infer the presence of multi resistant organisms as well as genes conferring -lactamase resistance in environmental samples.
ESTIMATION OF VARIOUS TIDAL PARAMETERS AND POSSIBILITY FOR HARNESSING TIDAL ENERGY ALONG THE SOUTHEAST COASTAL AREA OF KARACHI, PAKISTAN

and Zaheer Uddin 1 Department of Applied Physics, University of Karachi, Karachi, 75270, Pakistan 2 Deparment of Geography, University of Karachi, Karachi, 75270, Pakistan 3 Hydrographic Department, Pakistan Navy 4 Department of Physics, University of Karachi, 75270, Pakistan *1 Email: ainsaf@uok.edu. pk ABSTRACT: The understanding of the sea tides and related phenomena are essential for estimating general oceanography parameters for any coast and also to calculate and plan harnessing of tidal energy for electricity generation. Energy consumption and demand in Pakistan, especially in the coastal city of Karachi has increased drastically over past decade and this situation particularly becomes worst in summer. This leads to a situation of increase in unit price of electricity for domestic and commercial users. To overcome this problem, a study is conducted with the help of Pakistan Navy hydrography department, in which first time real time tide related data along the Karachi coast (24 o 48’N 66 o 58’E) located on the southeastern coastline of Pakistan has been acquired for the period of three months during summer of 2014. In this research study an attempt has been made to estimate various essential tidal energy harnessing factors using tide related data.
EFFECT OF ELLAGIC ACID ON GASTRIC MUCOSA OF EXPERIMENTALLY INDUCED GASTRIC ULCER: HISTOLOGICAL AND IMMUNOHISTOCHEMICAL STUDY

Gastric ulcer is a multietiologic disease. Steroidal and nonsteroidal drugs have been shown to play a role in gastric ulcerogenesis. [4] Non-steroidal anti-inflammatory drugs (NSAIDs) including aspirin (acetyl salicylic acid) are widely prescribed, despite their gastrointestinal side effects. Several regimens have been recommended to prevent serious gastrointestinal complications such as the use of safer NSAIDs and the co-prescription of gastroprotective agents. [5] Reactive oxygen species (ROS) have been proved to play an important role in the pathogenesis of gastric ulcer. Accordingly, various regimens of reactive oxygen metabolite scavengers appear to be new treatment strategies for gastrointestinal diseases. [6]
SECURE DEDUPLICATION WITH EFFICIENT AND RELIABLE CONVERGENT KEY MANAGEMENT IN CLOUD STORAGE

: Secure deduplication is a technique for eliminating duplicate copies of storage data, and provides security to them. To reduce storage space and upload bandwidth in cloud storage deduplication has been a well-known technique. For that purpose convergent encryption has been extensively adopt for secure deduplication, critical issue of making convergent encryption practical is to efficiently and reliably manage a huge number of convergent keys. The basic idea in this paper is that we can eliminate duplicate copies of storage data and limit the damage of stolen data if we decrease the value of that stolen information to the attacker. This paper makes the first attempt to formally address the problem of achieving efficient and reliable key management in secure deduplication. We first introduce a baseline approach in which each user holds an independent master key for encrypting the convergent keys and outsourcing them. However, such a baseline key management scheme generates an enormous number of keys with the increasing number of users and requires users to dedicatedly protect the master keys. To this end, we propose Dekey, User Behavior Profiling and Decoys technology. Dekey new construction in which users do not need to manage any keys on their own but instead securely distribute the convergent key shares across multiple servers for insider attacker. As a proof of concept, we implement Dekey using the Ramp secret sharing scheme and demonstrate that Dekey incurs limited overhead in realistic environments. User profiling and decoys, then, serve two purposes. First one is validating whether data access is authorized when abnormal information access is detected, and second one is that confusing the attacker with bogus information. We posit that the combination of these security features will provide unprecedented levels of security for the deduplication in insider and outsider attacker.
ROLE OF HIGH-THROUGHPUT SEQUENCING TECHNOLOGIES IN GENOME SEQUENCING

The modern biology has undergone a drastic change with the increasingly available genetic information of many organisms from prokaryotes to human beings. This was possible due to the invention of novel DNA sequencing technologies called high through-put sequencing techniques (HTS technologies), which are capable of sequencing the genetic information with increased speed, accuracy and efficiency at a lower cost. Development of these technologies has revolutionalized the traditional Sanger sequencing method and has almost made the sequencing a bench-top instrument. HTS technologies are also used in solving the genome complications, for studying the diversity and genetic variations. These technologies are believed to be useful in novel medical diagnostics and treatment. This review will focus on using different HTS technologies for solving the complexities in the genomes of fossil, prokaryotic and eukaryotic organisms.