bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic Dispatch Optimization Using Imperialist Competitive Algorithm (ICA) and compare with PSO algorithm result
Authors: Jalilzadeh Saeid , Nikkhah Saman 
Published: May 2018

Measurement Imperialist Competitive Algorithm (ICA) is aÂ population based stochastic optimization technique, originallydeveloped by Eberhart and Kennedy, inspired by simulation of a social psychological metaphor instead of the survival of the fittest individual. In ICA, the system (imperialists) is initialized with a population of random solutions (colonies) and searches for optimal using cognitive and social factors by updating generations. ICA has been successfully applied to a wide range of applications, mainly in solving continuous nonlinear optimization problems. Based on the ICA, this paper discusses the use of ICA approach to optimize performance of economic dispatch problems. The proposed method is validated for a test system consisting of 13 thermal units whose incremental fuel cost function takes into account the valve-point loading effects
DESIGN OF PARALLEL COUPLED MICROSTRIP BAND-PASS FILTER
Authors: Hussain Ghasan Ali 
Published: May 2018

Filters occupy important acts in several Radio Frequency microwave applications. Several applications such as wireless communications still challenge RF/microwave filters with strict requirements such as smaller size, higher performance, lighter weight, and lower cost. Microstrip Filters for RF/Microwave Applications offers a unique and comprehensive treatment of RF/microwave filters based on the microstrip structure. One of the most common methods in designing microwave filters is using of parallel-coupled microstrip. In this paperÂ simulate and fabricate by using Ansoft Designer a two resonator microstrip band-pass filter suitable for Wi-Fi applications.Â The results of simulation were quite good.
ENHANCED MULTIQUERY SYSTEM USING KNN FOR CONTENT BASED IMAGE RETRIEVAL
Authors: Meenu Meenu , Jindal Sonika 
Published: May 2018

Content Based Image Retrieval (CBIR) techniques are becoming an essential requirement in the multimedia systems with the widespread use of internet, declining cost of storage devices and the exponential growth of un-annotated digital image information available in recent years. Therefore multi query systems have been used rather than a single query in order to bridge the semantic gaps and in order to understand userâ€™s requirements. Moreover, query replacement algorithm has been used in the previous works in which user provides multiple images to the query image set referred as representative images. Feature vectors are extracted for each image in the representative image set and every image in the database. The centroid, Crep of the representative images is obtained by computing the mean of their feature vectors. Then every image in the representative image set is replaced with the same candidate image in the dataset one by one and new centroids are calculated for every replacement .The distance between each of the centroids resulting from the replacement and the representative image centroid Crep is calculated using Euclidean distance. The cumulative sum of these distances determines the similarity of the candidate image with the representative image set and is used for ranking the images. The smaller the distance, the similar will be the image with the representative image set. But it has some research gaps like it takes a lot of time to extract feature of each and every image from the database and compare our image with the database images and complexity as well as cost increases. So in our proposed work, the KNN algorithm is applied for classification of images in the database image set using the query images and the candidate images are reduced to images returned after classification mechanism which leads to decrease the execution time and reduce the number of iterations. Hence due to hybrid model of multi query and KNN, the effectiveness of image retrieval in CBIR system increases. The language used in this work is C /C++ with Open CV libraries and IDE is Visual studio 2015. The experimental results show that our method is more effective to improve the performance of the retrieval of images.
A Review on Load Balancing In Cloud Environment
Authors: Kaur Amandeep , Luthra Mr. Pawan 
Published: May 2018

Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous computing systems. On cloud computing platform, load balancing of the entire system can be dynamically handled by using virtualization technology through which it becomes possible to remap virtual machine and physical resources according to the change in load. However, in order to improve performance, the virtual machines have to fully utilize its resources and services by adapting to computing environment dynamically. The load balancing with proper allocation of resources must be guaranteed in order to improve resource utility.
Enhancing the performance of web Focused CRAWLer Using Ontology
Authors: Yadav Prasant , Kalra Mrs Mala , Yadav Dr. K.P 
Published: May 2018

The enormous growth of the World Wide Web in the recent years has made it important to perform resources discovery efficiently. The rapid growth of World Wide Web poses (Doubles in size approximately every eight months) unprecedented scaling challenges for general purpose crawler and search engine. Finding useful information from the web which has a large and distributed structure required efficient search strategies. As ontology plays an important role in providing controlled vocabulary of concepts, each with an explicitly defined and machine process able semantics. In this paper ,we propose the novel concept of intelligent crawling of Ontology based content focused crawling , the new approach that analyses it crawl boundary to find the links that are likely to be the most relevant for the crawlÂ while a boundary irrelevant region of the web. Through our new focused crawling technique we solve the polysemy (refer to word with multiple meaning) and synonymy (refers to multiple word having the same meaning) semantic net problem. Also instead of searching in the whole web, our proposed technique will search in the ontology build by us that is updated periodically after a very short interval than instead of displaying all the information that is not related to the user need, we will display only relevant and related information. Our purposed work give us twoÂ fold benefit , firstly only focused result are retrievedÂ which reduce the number of results entreated and secondly, due to focused searching irrelevant result are pruned which reduce the time.
Review of Acknowledgment Based Techniques for Detection of Black Hole/Gray Hole Attacks in MANETs
Authors: Kaur Rajveer , Rani Dr. Shaveta , Singh Dr. Paramjeet 
Published: May 2018

In Mobile Ad hoc NETworks (MANETs) nodes communicate via wireless links, without any fixed infrastructure like base stations, central servers or mobile switching. Each node in MANET can act as a host or as a router. Due inherent characteristics like decentralization, self configuring, self -organizing networks, they can be deployed easily without need of expensive infrastructure andÂ have wide range of military to civilian and commercial applications. But wireless medium, dynamically changing topology, limited battery and lack of centralized control in MANETs, make them vulnerable to various types of attacks. This paper focus on network layer packet dropping attacks â€“ Black Hole & Gray Hole attacks in Dynamic Source Routing (DSR) based MANETs and discuss various pros and cons of acknowledgement based techniques for detection of above said attacks.
Comparative Analysis of Kohonen-SOM and K-Means data mining algorithms based on Academic Activities
Authors: Dhingra Shaina , Gilhotra Rimple , Ravishanker Ravishanker 
Published: May 2018

With the increasing demand of IT and subsequent growth in this sector, the high- dimensional data came into existence. Data Mining plays an important role in analyzing and extracting the useful information. The key information which is extracted from a huge pool of data is useful for decision makers. Clustering, one of the techniques of data mining is the mostly used methods of analyzing the data. In this paper, the approach of Kohonen SOM and K-Means and HAC are discussed. After that these three methods are used for analyzing the academic data set of the faculty members of particular university. Finally a comparative analysis of these algorithms are done against some parameters like number of clusters, error rate and accessing rate, etc. Â This work will present new and improved results from large-scale datasets.
Forensic Analysis of Databases by Combining Multiple Evidences
Authors: Khanuja Harmeet Kaur , Adane Dr. D.S. 
Published: May 2018

The information security for securing enterprise databases from internal and external attacks and violations of mutual policy is an interminable struggle. With the growing number of attacks and frauds, the organizations are finding it difficult to meet various regulatory compliance requirements such as SOX, HIPAA, and state privacy laws. The aim here is to develop a methodology which monitors the database transactions on continuous basis and to make a decision whether the database transactions are legitimate or suspicious by combining multiple evidences gathered. The suspicious transactions can then be used for forensic analysis to reconstruct the illegal activity carried out in an organization. This can be achieved by incorporating information accountability in Database Management System. Information accountability means, the information usage should be transparent so that it is possible to determine whether a use is appropriate under a given set of rules. We focus on effective information accountability of data stored in high-performance databases through database forensics which collects and analyses database transactions collected through various sources and artifacts like data cache, log files, error logs etc. having volatile or non-volatile characteristics within high performance databases. The information and multiple evidences collected are then analyzed using an Extended Dempster-Shafer theory(EDST). It Â combines multiple such evidences and an initial belief is computed for suspected transactions which can be further used for reconstructing the activity in database forensics process.
Comparative Performance Analysis of Different Routing Protocols in Wireless Ad-hoc networks (IEEE 802.11)
Authors: Kumar Mahendra , Jain A. K. 
Published: May 2018

Wireless Ad-hoc networks have lack of mass deployment. An Ad hoc wireless network has a dynamic nature that leads to constant changes in its network topology.Â There is an infrastructure less and decentralized network which need a robust dynamic routing protocol. This article presents performance comparison of wireless Ad-hoc network on different routing protocols. Network simulator QualNet 5.0.2 has been used to evaluate the performance of wireless networks with various routing protocols.
Defending Against Denial of Sleep Attack in Wireless Sensor Network
Authors: Vc Manju , Kumar. Dr.Sasi 
Published: May 2018

A wireless sensor network is a wireless network organized with a large number of sensor nodes with specialized sensors that can monitor various physical attributes such as temperature, pressure, vibration, and sound. Sensor nodes are powered up with batteries. Due to unattended nature of the deployment, the sensor nodesâ€™ batteries cannot be recharged. In such conditions, the nodes must optimally consume power. Various protocols are designed to reduce the energy consumption of sensor nodes by keeping the antenna in sleep mode 90% of time, so that power is saved. MAC protocols are designed to adaptively vary the sleep time based on the communication need. But attackers use their knowledge of their underlying MAC protocol, to reduce the sleep time for the node, so that the lifetime of a node reduces. This problem is popularly known as Denial of sleep attack. In this paper, we propose an effective solution }to defend against such attacks inÂ a sensor network. Our proposed solution introduces communication overhead only when the attack is suspected and also the defending mechanism is triggered only in the area of attack. Also the analysis shows that our solution is very strong against SYNC replay attack and jamming attacks.
Test Case Selection and Prioritization for Regression Testing using Fault Severity
Authors: Sharma Uma , Rastogi Vedant 
Published: May 2018

Regression testing is a significant but a very expensive testing process .Test case prioritization is a technique to schedule and execute the test cases in such an order that results in increasing their ability to meet some performance goal. One of the main goal is to increase the rate of fault detection â€“i.e. to detect the faults as early as possible during the testing process. Test case prioritization is used to minimize the expenses of regression testing. This paper proposes a technique to select and prioritize the test cases and results in improving the rate of fault detection.
Determination and assessment of essential elements in Acacia Nilotica-a medicinal and folk uses by different analytical methods
Authors: Madbouly Magdy Diab , Salih Mutaz Ezzeldien , Ahmed Ali Elmugdad , Kamel Laila Tosson 
Published: May 2018

Acacia Nilotica is a good source of several nutrient elements essential for some metabolic processes. The pods of Acacia Nilotica collected from different areas in Sudan have been analysed for 6 minor (Li, Na, K, Mg, Ca, P) and 3 trace (Fe, Zn, Mn) elements by flame photometry and atomic absorption spectrophotometry using the standard addition and calibration curve methods, respectively. The phosphorous, however, was determined U.V. spectrophotometrically using the standard addition method for measurement of the absorbance, at 410 nm of the complex produced by the coupling of meta-molybdate ammonium vanadate with phosphorous. The ash content, density, colour and pH were also determined by standard methods. The results obtained showed that acacia nilotica samples have been found to be especially rich in several nutrient elements such as, K, Fe and P. Concentration of elements are discussed vis-à-vis their medicinal/therapeutic uses. Several statistics like PCA and correlation matrix between elements and pH were performed to the dataset in order to distinguish between geogenic enrichment, lithiogenic, and anthropogenic pollution elements found in the pods. The results suggested anthropogenic and geogenic origin of Na, Ca, P, Fe, Zn, Mn, while Li, K, Mg showed lithogenic and/or geogenic origin and was associated and controlled by mixed origin.
Dehydration and decomposition behavior of the NaH2(PO4)0,48AsO4)0,52.H2O compound in the temperature range from 253 K to 333 K.
Authors: Jarraya Khaled , Mhiri Taher , Le Goff Xavier 
Published: May 2018

The mixed compound NaH2(PO4)0.48(AsO4)0.52.H2O, which has been examined by Raman spectroscopy, XRD powder and dielectric, exhibits solid–solid phase transitions and one reversible solid–liquid phase transition. Besides, the investigation of dehydration behavior of sodium dihydrogenate phosphate-arsenate monohydrate was undertaken in a temperature range from 253 K to 333 K. The onset temperature of dehydration was determined from changes in ionic conductivity and X-ray powder on heating. It was confirmed by the Raman study not only in the disappearance of the vibrations assigned to the PO4, AsO4 but also in the appearance of the new vibrations attributed to the (PO3), which constitutes the P-O-P chain, giving a polymer with the formula: NaH2(P2O7)x(As2O7)(1-x). The important variation was observed in all studies at 313 K, which could correspond to the transformation of the NDAP compounds of a solid crystal into a liquid form.
Investigation of Wear Behaviour of Al6061 reinforcement with TiC and MoS2
Authors: Rajesh S. , Velmurugan C. 
Published: May 2018

Metal matrix composite (MMC) focuses primarily on improved specific strength, high temperature and wear resistance application. Aluminum matrix reinforced with titanium carbide and molybdenum disulfide has good potential and also self-lubrication. The main challenge is to produce this composite in a cost effective way to meet the above requirements. In this study Alâ€“TiC-MoS2 castings with different volume fraction of TiC and MoS2 were produced in an argon atmosphere by an enhanced stir casting method. Hardness of the composite has increased with higher % of TiC addition. At that same time self-lubrication of composite has occur in the effort of MoS2. Dry sliding wear behavior of AMC was analyses with the help of a pin on disc wear and friction monitor. The present analyses reveal the improved hardnessÂ as well as wear resistance.
Preparation , Characterization, and Theoretical Treatment Complexes Of Some Transition Metals with N5 Acyclic Derived From 2,6-diacetyl pyridine
Authors: Al-Obaidi Omar 
Published: May 2018

A series of transition metal complexes with [2,6-diacetimino-pheylenediamine –[2,2,diyl] pyridine ]of the general formula [MLCl]Cl , M= Co(II), Ni(II) and Cu(II) , respectively have been synthesized and fully characterized on the bases of C.H.N.M elemental analysis, 1HNMR , UV- Visible and FTIR spectra , in addition the structure of complexes was characterized by magnetic moments and molar conductance in DMSO solution ,and molar ratio of metal were also determined. From the above of these studies and measurements suggest an octahedral geometry around Co(II) , Ni(II) and Cu(II) .A theoretical treatment of the formation of complexes in the gas phase was studied, this was done using the HYPERCHEM-6 program for the Molecular mechanics and Semi-empirical calculations.
Selective C-methylation of phenol with methanol over transition metals modified mesoporous ceria catalysts
Authors: K.J Rose Philo , S Sugunan 
Published: May 2018

The demand for selective catalysts with larger molecular dimensions led to the discovery of mesoporous catalytic materials. We report herein the development of an environmentally friendly process for C-methylation of phenol derivatives with methanol using mesoporous ceria modified with transition metals. Selective C-methylation of phenol, has been investigated over transition metals loaded mesoporous ceria. Catalyst reaction rates at various reaction parameters were also investigated. 98% selectivity for ortho-alkylated products (o-cresol and 2, 6-xylenol) was obtained. The reaction is proved to be first order with phenol conversion. The frequency factor A and the activation energy Ea were also evaluated with (CeFe10%) catalyst.
Synthesis, Crystal Structure and Vibrational Properties of bis (N-benzylmethylammonium) Pentachlorobismuthate (III)
Authors: Khili Hiba , Chaari Najla , Fliyou Mohamed , Chaabouni Slaheddine 
Published: May 2018

The [C8H12N]2 BiCl5 compound crystallised in the triclinic system with space group P-1 with a = 9,833(4), b = 10,044(7), c = 12,225(7) Å, a= 78.82(4), β = 75,42(4), g= 76.89°(5) and Z = 2. The average density value, ρx = 1.518 g.cm-3 is in agreement with the calculated one, ρx = 1.494 g.cm-3. The atomic arrangement can be described as an alternation of organic and inorganic layers. The anionic layer is built up of octahedral [Bi2Cl10]-4. The organic layers are arranged in sandwich between the anionic ones. The crystal packing is governed by means of the ionic N–H---Cl hydrogen bonds, forming a three dimensional network. The nature of the distortion of the inorganic polyhedra has been studied and can be attributed to the stereo activity of the Bi(III) lone electron pair. The infrared and Raman spectra was recorded in the 4000–400 cm-1 frequency region.
Characteristics of Patients Treated Psychoterapeutically in the Outpatient Clinical Setting
Authors: Samardžić Ljiljana 
Published: May 2018

Summary
The influence of social changes in transitional country and transitional times, among other things, have made changes in the structure of the patients seeking psychotherapeutic treatment. However, there has not been any research studying characteristics of patients in psychotherapeutic treatment. The aim of our study was to establish socio-demographic, clinical and psychodynamic characteristics of patients psychotherapeutically treated in the outpatient clinical setting.
Our sample consisted of 61 non-psychotic patients, randomly selected by the method of consecutive admissions and treated with psychoanalytic psychotherapy in the outpatient clinical setting. The study was conducted from January 2009 to January 2012 at the Mental Health Clinic, Clinical Center Niš. Mini International Neuropsychiatric Interview, Global Assessment of Functioning Scale and a Semi-structured interview for the Operationalized Psychodynamic Diagnosis were used for collecting data.
Our results have shown that patients treated with psychotherapy in the outpatient clinical setting have specific socio-demographic, clinical and psychodynamic characteristics. They are young, post-adolescent individuals, mainly with the diagnosis personality disorder and co-morbidity, with a moderate level of structural integration and individuation vs. dependency as the main psychological conflict. We suggest a long-term psychodynamic psychotherapy as the treatment of choice for patients with presented clinical and psychodynamic characteristics and operationalized psychodynamic diagnostic system as a valuable tool for establishing treatment focus and treatment planning.
Developing Leadership Culture in the Context of the Fourth Industrial Revolution: Theory and Practice
Authors: Thanh Pham Ngoc 
Published: May 2018

Abstract: This paper focuses on the impact of the Fourth Industrial Revolution on the development of leadership culture through the analysis of the relationship between leadership culture and industrial revolutions. Furthermore, the article addresses the methodological issues of developing leadership culture under the impact of the Fourth Industrial Revolution.
Keywords: Leadership culture, cultural leadership, the Fourth Industrial Revolution
Birth Registration and Perceived Social Exclusion: Insights from Participants' Narratives
Authors: Chereni Admire 
Published: May 2018

Birth registration is becoming an important arena of political mobilisation for human rights. Discourses about civil registration advanced in the civil society and academic circles tend to frame birth registration in citizenship terms, arguing that (a)Â a birth certificate is indispensable in realising the childâ€™s right to a name, nationality and citizenship, and (b)Â both the delay in registering and failure to register a childâ€™s birth compound the social exclusion of that child. However, narratives that connect birth registration and social exclusion in a causal relationship are seldom premised on empirical evidence. Drawing on qualitative key informant interviews, this article examines how non-birth registration relates to social exclusion of children. Participantsâ€™ narratives generated in Zimbabweâ€™s Bindura District revealed that non-birth registration is entangled with multiple dimensions of social exclusion, potentially giving rise to marginalisation of children in various spheres of society.