Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey on Digital Video Authentication Methods

— With the innovations and development in sophisticated video editing technology and the wide spread use of video information and services in our society, it is becoming increasingly significant to assure the trustworthiness of video information. In surveillance, forensics, medical and various other fields, video contents must be protected against attempt of manipulation. Such malicious alterations could affect the decisions made based on these videos. A lot of techniques are proposed by various researchers in the literature that assure the authenticity of video information. In this paper we are making a survey of some of the recent passive methods for video tampering detection in the literature proposed so far and critically reviewing them by listing the strengths and weaknesses of each of them.
Performance Investigation of Inverter fed 7-Phase Induction Motor Drive

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract This paper presents the Performance Investigations of 7-Phase Inverter fed Induction Motor Drive. Compared to three-phase drive multi-phase induction motor drive possess several advantages, reduced current per phase, torque ripple frequency is high and amplitude of torque ripple is low, resulting lower operating noise and mechanical vibration. The total power rating of multi-phase motors in the same frame can be increased significantly without overloading a single phase and better fault tolerant capability. The 7th harmonic fed 7-phase drive is proposed in this paper. The performance of the 7 -phase VSI is studied with the varying modulation index. The VSI fed multi-phase drive is analyzed for different load conditions. The simulation results are presented for different modulation indices and compare the performance of the drives are presented.
Compact Global Descriptor for Visual Search using Sparse Coding

Summary This paper studies compact global descriptor for visual search using sparse coding. BoF(Bag of Feature)[1] is widely used in visual search application. But BoF has some problem of large memory usage and update inefficiency of new reference image. To overcome this problem, we propose compact global descriptor which needs small amount of memory. For attain better retrieval accuracy, we divide SIFT[2] features into two part according to its statistical property. And sparse coding[3] is applied for aggregation of local descriptors instead of k-means clustering that is used in existing global descriptor algorithm. The evaluation shows that our approach perform better than existing Test Model
A Convolution-Based System for Malicious URLs Detection

: Since the web service is essential in daily lives, cyber security becomes more and more important in this digital world. Malicious Uniform Resource Locator (URL) is a common and serious threat to cybersecurity. It hosts unsolicited content and lure unsuspecting users to become victim of scams, such as theft of private information, monetary loss, and malware installation. Thus, it is imperative to detect such threats. However, traditional approaches for malicious URLs detection that based on the blacklists are easy to be bypassed and lack the ability to detect newly generated malicious URLs. In this paper, we propose a novel malicious URL detection method based on deep learning model to protect against web attacks. Specifically, we firstly use auto-encoder to represent URLs. Then, the represented URLs will be input into a proposed composite neural network for detection. In order to evaluate the proposed system, we made extensive experiments on HTTP CSIC2010 dataset and a dataset we collected, and the experimental results show the effectiveness of the proposed approach.
Radiation Pattern Analysis and Synthesis of Antenna Arrays using Convex Optimization

Antenna Array patterns can be analyzed and synthesized in a variety of ways and are very important in almost every field of Antenna applications. Antenna Array patterns can be expressed as Convex Optimization problem and can be optimized by a number of methods available nowadays, e.q. Interior Point Methods, Genetic Algorithm, SCHELKUNOFF’S METHOD, These methods usually analyzed the Antenna Patterns in terms of Side Lobe Level, Main Lobe, Noise Power, Signal to Noise ratio. In this paper, we consider a uniform linear Antenna array with 40 elements with two equality constraints. It has been verified through the simulation results, using Convex Optimization that the side lobes and the major lobes and beam width of side lobes can now be optimized with precision as well as visible on the plots.
Void Node Problem Handling Three Dimensional Geographic Routing For WSNs

: One of the most significant concerns in the maneuver of Wireless Sensor Network (WSN) is the real-time data delivery. It is mainly proposed for wireless network and based on the idea that the source sends a message to the geographic location of the destination instead of using the network address in three dimensional spaces have been provided to lift up the effect of long route and spares regions on assurance of real-time data delivery. Geographical routing protocols (GRPs) are promising candidates in fulfilling such real-time requirements because they can handle dynamic changes in the network far better than topological routing protocols, which in turn enable GRPs to maintain the delay deadlines effectively. 3DRTGP are deliberate to fit with WSNs that are deployed in 3D space. 2D-RGRP and 3D-RGRP are evaluated based on two metrics, which are packet miss ratio and packet E2E delay.
Genome-Wide Identification of Transition Metal

Transition metals are essential minerals required for normal growth and development of plants which are taken in correct proportions from the soil and distributed throughout the plant. The concentrations of transition metals in roots, shoots and grains were analyzed in Oryza sativa indica cultivars viz., Sona Masuri (BPT 5204), Swarna (MTU 7029) and Vijetha (MTU1001). In roots the concentration of iron was highest in Sona masuri variety, followed by manganese and zinc. In shoots and grains, iron was highest followed by zinc suggesting specific transport mechanisms in all the parts. A total of 55 genes for transition metal ion transport were identified using insilico tools of which 18 involved in zinc/iron transport, 13 for copper, 7 for manganese, 3 for cobalt, 4 for cadmium and 10 transport metal ions belonging to Nramp family. Research carried out on these metal transporters mainly provides insights into the field of rice metal biology. Materials and Methods Rice varieties used Sona Masuri (BPT 5204) is one of the fine-grain variety of rice of 150 days duration with an average yield of 6tons/ha grown largely in various parts of Andhra Pradesh. Swarna (MTU 7029) is a semi-dwarf variety of 150 days duration with an average yield of 2.6 tons/ha which can be grown in saline soils. Vijetha (MTU 1001) is a fine variety of grain with 140 days duration, with an average yield of 2.4 tons/ha. Estimation of metal content in rice plants The three different rice varieties namely Sona masuri, Swarna and Vijetha were taken and metal content was estimated in roots, shoots and grains during initial and final stages of growth. Metal content of different plant samples (0.5 gms) were determined by subjecting it to wet acid digestion as described by Venkateswarulu and Sastry [10]. 5 ml of concentrated nitric acid and 1 ml of 70% perchloric acid are taken into a 50 ml conical flask, slowly heated to dryness on a sand bath. The residue was further digested with a 1:1 mixture of nitric acid and hydrochloric acid (5 ml) and finally with 10 ml hydrochloric acid. The final residue was dissolved in a suitable volume of deionized distilled water and metal ions estimated by Atomic Absorption Spectrometer (AAS:GBC-932 plus). Data shown are mean values of triplicates from two separate experiments (± SD). Compilation of catalogue Transport database, a relational database of a predicted cytoplasmic membrane transport protein complement for organisms was used for building a catalogue of transition metal transporter genes. For the Citation: Kiranmayi P, Vijaya Rachel K, Santyasyamala M, Nagamrutha M (2014) Genome-Wide Identification of Transition Metal Ion Transporters in Oryza sativa. J Rice Res 2: 124. doi: 10.4172/jrr.1000124
A Review Paper on Microstrip Patch Antenna Used in Wlan Systems

: A compact microstrip patch antenna became a very useful in communication systems. Properties like compactness, light weight, high bandwidth make it a good candidate of communication system. This paper reviews the performance analysis of Compact Dual-Band Microstrip Antenna for IEEE 802.11a WLAN Application (2014), comparative analysis of s-shaped Multiband microstrip patch Antenna (2013), Dual-Band Antenna with Compact Radiator for 2.4/5.2/5.8 GHz WLAN Applications (2012), A Slot-Monopole Antenna for Dual-Band WLAN Applications (2011) and Compact Broadband Slotted Rectangular Microstrip Antenna (2009). The paper also discusses the technology used in order to bring the required changes in terms of improved performance characteristics.
A Survey of Multi

This paper describes a survey of Multi-aims at extraction of information from a set of documents written about same topic and helps to familiarize themselves with information content in large cluster of documents. There are several strategies for selecting interesting and informative sentences from set documents. Generic and Topi Summarization are the two main strategies. This paper goes through different approaches in each strategy.
ANTIVIRAL ACTIVITY OF CLOVE AND BITTER ALMOND OILSAGAINSTBEAN YELLOW MOSAIC VIRUS (BYMV) INFECTING FABA BEAN IN IRAQ

This study was initiated to test the antiviral effect oftwo essential oils against Bean yellow mosaic virusinfectingfaba bean plants.Clove and bitter almond oils were selected to test their activities.BYMV source was obtained from infected faba been seeds. Symptomatic plants grown were tested for BYMV infection using double antibody sandwich-enzyme linked immunoassay (DAS-ELISA). BYMV infected plants were sprayed with 5% clove oil and bitter almond oil (20 replicates each) twice within 2 weeks intervals. Results revealed symptomatic faba bean plants, for both treatments, were improved when symptoms were faded or disappeared. Faba bean plants treated with clove oilCO showed lower virus concentration more than bitter almond oil BAO when tested by DAS-ELISA when means of absorption values were 0.72 and 1.32 respectively compared to 2.92 for infected plantcontrol IPC. Growth parameters showed plants treated with BAO Our results suggest that essential oil treatmentscould be a promising method to control BYMV infectingfaba bean in Iraq. KEYWORD: potyviruses, Viciafaba, virus disease, induced resistance, broad bean, Eugenol.
An Evaluation of Different Routing Schemes in DTN

— Delay Tolerant Networks (DTNs) have evolved from Mobile Ad Hoc Networks (MANET). It is a network, where contemporaneous connectivity among all nodes doesn’t exist. This leads to the problem of how to route a packet from one node to another, in such a network. This problem becomes more complex, when the node mobility also is considered. The researchers have attempted to address this issue for over a decade. They have found that communication is possible in such a challenged network. The design of routing protocol for such networks is an important issue.
Medical Image Stitching Using Hybrid Of Sift & Surf Techniques

— Image stitching is a technique that combines two or more images from the same scene to obtain a panoramic image. Image stitching is used in Medical system for stitching of X-ray images. As the flat panel of X-ray system cannot cover all the parts of a body. So stitching of Medical images can be done. Stitching of images basically includes two main parts – Image Matching and Image Blending. For Image Matching the two algorithms SIFT and SURF are used. This paper presents a technique using hybrid of SIFT and SURF. As SIFT is slow process and not suitable at illumination changes while it is invariant to scale changes, rotation and affine transformations whereas SURF is having illumination property and having high computational speed. So by combining both methods, a new method can be generated that creates panoramic image having better features.
Hybrid Algorithm for Multiprocessor Task Scheduling

Multiprocessors have become powerful computing means for running real-time applications and their high performance depends greatly on parallel and distributed network environment system. Consequently, several methods have been developed to optimally tackle the multiprocessor task scheduling problem which is called NP-hard problem. To address this issue, this paper presents two approaches, Modified List Scheduling Heuristic (MLSH) and hybrid approach composed of Genetic Algorithm (GA) and MLSH for task scheduling in multiprocessor system. Furthermore, this paper proposes three different representations for the chromosomes of genetic algorithm: task list (TL), processor list (PL) and combination of both (TLPLC). Intensive simulation experiments have been conducted on different random and real-world application graphs such as Gauss-Jordan, LU decomposition, Gaussian elimination and Laplace equation solver problems. Comparisons have been done with the most related algorithms like: list scheduling heuristics algorithm LSHs, Bipartite GA (BGA) [1] and Priority based Multi-Chromosome (PMC) [2]. The achieved results show that the proposed approaches significantly surpass the other approaches in terms of task execution time (makespan) and processor efficiency.
Field studies on Prevailing Internal Parasitic Diseases in Male and hybrid tilapia relation to Monosex Tilapia at Kafr El-Sheikh Governorate Fish Farms

The present study was carried out on 1800 specimens of Oreochromis niloticus (phenotypic , hybrids and monosex of different lengths and body weights. They were randomly collected at different seasons from Kafr ElSheikh Governorate cultured fish farms. The clinical signs of infested fish revealed no pathognomonic abnormalities on the external body surface .Such fish were shown emaciation. The postmortem showed that the internal organs were appeared anemic with enlargement and congestion. As well as, haemorrhage and ulceration of intestine and stomach mucous membrane. Monogenetic trematode (Enterogyrus cichlidarum), Adult flukes including (Orientocreadium batrochoides, Afromacroderoides sp, Astiotrema reniferum and Eumasenia egypticus), Nematodes including( Procamallanas laeviconchus and Paracamallanas cyathopharynx), Cestodes including Polyonchobothrium sp and Acanthocephalan including Acanthocentis tilapiae were investigated and identified. The highest prevalence possessed in hybrids of O. niloticus while monosex O.niloticus occupied the last position. Also some physico-chemical parameters of pond waters represented as alkalinity pH, salinity, ammonia and sulphates were examined in relation to the infestation rate with internal parasites. [Eissa, I. A.M.; Gado, M. S. ; laila, A.M.; Mona S. Zaki and Noor El-Deen,A. E. Field studies on Prevailing Internal Parasitic Diseases in Male and hybrid tilapia relation to Monosex Tilapia at Kafr El-Sheikh Governorate Fish Farms. Journal of American Science 2011;7(3):722-728]. (ISSN: 1545-1003). http://www.americanscience. org.
A Study on Assessment of Tax Administration System on Category ‘B’ Tax Payers, Gamo Gofa Zone, Snnpr, Ethiopia

Taxation is a system of raising money to finance government. without taxes to funds its activities, government could not exist. Currently, in Ethiopia revenue collected from tax is increasing due to improvement in tax collection methods and decrease evasion. Besides, tax administration system in Ethiopia is still facing many problems. The aim of the present study were tried to investigate variety of problems in ''tax administration system of category ''B'' tax payers’’ in Arba Minch and Sawula towns from tax payers as well as tax collector point of view. In order to achieve the objective of the study, the researcher used stratified random sampling to select 286 respondents out of the 1006 category B tax payers. Moreover, quantitative and qualitative data were collected through open and close ended questionnaires and through interview respectively. The finding of the present study showed that Low level of awareness of tax payers to VAT and profit tax, resistance against VAT registration, lack of ethics are identified a major problems in identifying those category B potential taxpayers. In addition, unwillingness of taxpayers to pay their tax liability timely is major problems hindering the effective tax assessment and collection practice of the authority. Taxpayers rather than being silent and refrain due to the poor services they have been rendered they would be beneficiary if they are keen to consult the authority’s concerned officials in any issue related to tax matters and problems they are being facing. Keywords : Compliant cost, Category B tax payers, Tax administration
A Developers Perspective: An Analysis of Processes Involved in Software Development of Health Care Industries

- Software is now becoming the primary differentiator for medical devices manufacturer. Software development is driven by the risks, stringent quality requirements (such as safety, reliability), regulatory challenges, market pressures and significant complexity. To balance these, medical device industries need effective software development process to satisfy their client’s need. This paper identifies the actual barriers associated with software practices during development of medical software. We have focused on some of the processes such as V-model, agile and formal methods which was currently followed in most industries. We analyzed the strengths and weaknesses of the various approaches employed in medical device software development. A closer examination of these processes indicates that there is a potential demand in the area of process improvement in the field of medical device software.
Approaches for Deadlock Detection for Distributed Systems

— n today environment Distributed database is mainly used by large organization for their striking features. When we develop a deadlock detection and prevention approaches for distributed database. A deadlock is a condition in a system where a process cannot proceed because it needs to obtain a resource held by another process but it itself is holding a resource that the other process needs. The same conditions for deadlocks in uniprocessors apply to distributed systems. Unfortunately, as in many other aspects of distributed systems, they are harder to detect, avoid, and prevent. Deadlocks are a fundamental problem in distributed systems. Deadlock detection is more difficult in systems where there is no such central agent and processes may communicate directly with one another. Deadlock detection and resolution is one among the major challenges faced by a Distributed System. In this paper, we discuss deadlock detection techniques and present approaches for detecting deadlocks in Distributed Systems. We wish that our paper had served as a survey of the important solutions in the fields of deadlock for distributed system.
COMPARISON OF THE SIT-TO-STAND TEST WITH SIX MINUTE WALK TEST IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE

Background: poorly reversible airflow limitation that is usually both progressive and associated with an abnormal inflammatory response of the lung. functional status for patients with chronic respiratory disease. The 6MWT is easy to administer, well tolerated and more reflective of activities of daily life than the other walk tests and cardio stand up from a chair is an important component for maintaining independence in elderly people and in individuals with disabilities. For this reason, Sit for elderly people. Therefore, we concluded that, similar to the 6MWT, STST can also be used to determine the functional status in patients with COPD. Objective: patients with COPD, and to compare the results of both tests according to some outc in order to investigate the utility of STST for patients with COPD. Method: starting exercises. Subjects will be asked to pick a token numbered “1” and “2”. Patients with token “1” to perform sit to test and 6 minute walk test prior to testing. Result: Whereas, subjective exertion also shows significant difference of 0 r=0.418 (p<0.05) between SMWT distance and STST repetitions. correlation correlation with r=0.882 Conclusion: We also found significant differe statistically. Therefore, we conclude patients with COPD
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

The smart city concept provides opportunities to handle urban problems, and also to improve the citizens’ living environment. In recent years, road traffic accidents (RTAs) have become one of the largest national health issues in the world and it is leading cause for deaths. The burden of road accident casualties and damage is much higher in developing countries than in developed countries. Many factors (driver, environment, vehicle, etc.) are related to traffic accidents, some of those factors are more important in determining the accident severity than others. The analytical data mining solutions can significantly be employed to determine and predict such influential factors among human, vehicle and environmental factors. In this research, the classification technique i.e., Random forest algorithm is used to identify relevant patterns and for classifying the type of accident severity of various traffic accidents with the help of influential environmental features of RTAs that can be used to build the prediction model. This technique was tested using a real dataset. A decision system has been built using the model generated by the Random Forest technique that will help decision makers to enhance the decision making process by predicting the severity of the accident.
Kamlesh Malpani Author et al., International Journal of Advanced Research in Computer Science and Software Engineering 3 (4),March-2013, pp. 1-6Mining Frequent Pattern Form Large Dynamic Database

-Incremental algorithms can manipulate the results of earlier mining to derive the final mining output in various businesses [1, 2, 3]. This study proposes a new algorithm, called the new approach for efficiently incrementally mining frequent pattern from large Dynamic database. Proposed approach is a backward method that only requires scanning incremental database. Rather than rescanning the original database for some new generated frequent itemsets in the incremental database, we add the occurrence counts of newly generated frequent itemsets and delete infrequent itemsets obviously. Thus, new proposed approach need not rescan the original database and to discover newly generated frequent itemsets. Proposed approach generates fewer candidates, reduces complex calculation and has good scalability as compared to the previous methods.
Analysis And Data Mining Techniques In Social Media

—Huge impact of social media that internet user average almost spends 2.5 hours daily on liking, tweeting on social media, which has become vast source of structured data. It has become necessary to find out value from large data sets to show associations, as well as to perform predictions of outcomes and behaviours. Big Data has been characterized by 4 Vs – Volume, Velocity, Variety and Veracity. Unfortunately, these very large databases (VLDB) are not able to analyse in a judicious volume of spell and budget. Clustering is one such operation to group similar objects based on their connectivity, relative compactness or some specific characteristics. Calculating the correct number of clusters and its feature calculation are the main issues.