bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review: Dermatological Skin Disease Detection and Classification Based on Wavelet Transform and Artificial Neural Network
Authors: Kadu Revati , Belorkar U. A. 
Published: June 2018

One of the most common and augmenting health problems in the world are related to skin. The most unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection and classification phase.
Development of Dermatological Skin Disease Detection and Classification based on Wavelet and ANN
Authors: Kadu Revati , Belorkar U. A. 
Published: June 2018

One of the most common and augmenting health problems in the world are related to skin. The most unpredictable and one of the most difficult entities to automatically detect and evaluate is the human skin disease because of complexities of texture, tone, presence of hair and other distinctive features. Many cases of skin diseases in the world have triggered a need to develop an effective automated screening method for detection and diagnosis of the area of disease. Therefore the objective of this work is to develop a new technique for automated detection and analysis of the skin disease images based on color and texture information for skin disease screening. In this paper, system is proposed which detects the skin diseases using Wavelet Techniques and Artificial Neural Network. This paper presents a wavelet-based texture analysis method for classification of five types of skin diseases. The method applies tree-structured wavelet transform on different color channels of red, green and blue dermoscopy images, and employs various statistical measures and ratios on wavelet coefficients. In all 99 unique features are extracted from the image. By using Artificial Neural Network, the system successfully detects different types of dermatological skin diseases. It consists of mainly three phases image processing, training phase, detection and classification phase.
COMPUTATIONAL HUMANITIES
Authors: AMPAH NANA , Sadiku Matthew , Momoh Omonowo , Musa Sarhan 
Published: June 2018

Computational humanities is at the intersection of computing technologies and the disciplines of the humanities. Research in this field has steadily increased over the past years. Computational tools supporting textual search, large database analysis, data mining, network mapping, and natural language processing are employed by the humanities researcher. This opens up new realms for analysis and understanding. This paper provides a brief introduction into computational humanities.
A Review on Introduction to Docker and its Features
Authors: Yasir Mohd 
Published: June 2018

Docker is an open source platform that provides the facility of containerization. The applications that are built in the docker are packaged in a standard form called a container.1 It contains the technology that you need to build a container. The idea is to build an environment that you can package up in the Box. Let’s keep it that simple. You package up into Box and you ship it some where. You don’t care how to ship, as a developer your job is to create this box that is the container environment, and everything that’s needed for you to run it successfully. It provides some facilities, which are useful for developers. It is an open platform can be used for building, distributing, and running applications in a portable, light weight, flexible and stackable, Docker Engine. Docker provides Docker Hub, which is a cloud service for sharing applications.
Monitoring and Prediction of Air Quality using Neural Network
Authors: Raipure Shwetal 
Published: June 2018

Air Quality monitoring is very important in today s world. There are many harmful pollutants present in the air which are very harmful for human health. Prolonged consumption of such air may lead to severe death and harmful diseases. It is also harmful for crops as well as animals which may damage natural environment. There are several pollutants which are present in the air that decreases the quality of air such as sulfur oxide, nitrogen dioxide, carbon monoxide and dioxide, and particulate matter. Neural Network can be used for prediction of population for short term as well as long term using a deep learning technologies. Neural network specify two types of predictive models. the first one is the a temporal which is for short-term forecast of the pollutants in the air for the short coming or nearest days and the second one is a spatial forecast of atmospheric pollution index in any point of city. The artificial neural networks takes initial information and consider the hidden dependencies are used to improve the efficiency and accuracy of the ecology management decisions. In this paper the forecasting of atmospheric air pollution index in industrial cities based on the neural network model has proposed.
A Review on Multiple Layer Security of Cloud Server
Authors: Kumar Sanjeev , Kumar Mukesh 
Published: June 2018

Cloud services[1] are offering flexible & scalable services. But there is always issue of security. When data is transferred from centrally located server storage to different cloud compromise of person & private data would increase. There is always risk to confidentiality & availability of data prior to selecting a cloud vender or choosing own cloud & cloud service migration. Cloud services usually have their security concerns that must be addressed. In this paper we have discussed threats to cloud service & data in case of conventional security system & modern security system & proposed an idea to secure data on cloud using multiple layers of security.
Smart Driving System for Improving Traffic Flow
Authors: Gupta Rajesh Kumar , Padhy L. N. , Padhi Sanjay Kumar 
Published: June 2018

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay. For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.
An Overview of Statistical Machine Translation Tools
Authors: Aadil Mir , Asger M. 
Published: June 2018

The process Machine translation is a combination of many complex sub-processes and the quality of results of each sub-process executed in a well defined sequence determine the overall accuracy of the translation. Statistical Machine Translation approach considers each sentence in target language as a possible translation of any source language sentence. The possibility is calculated by probability and as obvious, sentence with highest probability is treated as the best translation. SMT is the most favoured approach not only because of its good results for corpus rich language pairs, but also for the tools that SMT approach has been enhanced with in past two and half decades. The paper gives a brief introduction to SMT: its steps and different tools available for each step.
A Review on Deep Drawing Process
Authors: Swapna D. , Rao Ch, Srinivasa , Radhika S. 
Published: June 2018

Deep Drawing (DD) process is the one in which a punch forces a flat sheet metal blank into a die cavity. DD can also be described as the process which involves conversion of flat thin sheet metal blanks into parts of desired shape. Little work is available in the applications of DD processes at elevated temperatures which is going to be a very important manufacturing application in the coming decades. Deep Drawing (DD) is one of the sheet metal forming processes widely used in automobile, aerospace, electronics and allied industries to produce the hollow parts. The improvement in the deep drawing manufacturing process with latest methodologies leads to developments in the automobile and other sheet metal industries. Still today, this process of analysis and design is an art than science. Presently, the conventional deep drawing (CDD) operation is carried out at room temperature in industries. Although the deep drawing process of high strength / low formability metals has an extensive industrial application area, deep drawing at room temperature has serious difficulties because of the large amount of deformations revealed and high flow stresses of the materials. The present paper gives an overview of deep drawing process, its classification along with advantages, limitations and applications.
Can Financial Indicators be used to Measure the Competitive Advantages and Sustainability in Business Companies Listed in Palestine Financial Market?
Authors: Darwish Marwan J. , Ghanem Fathallah A. 
Published: June 2018

The aim of this study is to figure out the status of Palestinian industrial and Service Company’s possession of competitive advantages and sustainability. Research sample consist of fourteen companies of which seven industrial companies and seven service companies listed in Palestine Financial Market. Industrial and service companies showed a real challenges in achieving competitive advantages and maintaining their level of sustainability, as VOIC was the leading company in the selected industrial companies followed by JPH, whereas BOP, PIB, and PALTEL showed a healthy presentation towards competitive advantages and sustainability. On the other hand PPI in the industrial companies proved to face serious obstacles that might exit this company from the era of business, while AHC, WASEL, and WATANIYA showed critical issues towards competitive advantages and sustainability in the service sector. The research found many conclusions both theoretically and practically, the most important as far as the calculated mean average is concern: all companies are trying hard in seeking and maintaining possession of competitive advantages and work on sustainability. While the weak point was in the service companies to achieve competitive advantages and sustaining mechanisms in the market. The research has provide several recommendations of which was the successful and healthy image some companies showed, therefore all companies listed in Palestine Financial Market need to continue on the issues of innovation and entrepreneurship, which leads to the innovation of new services and products which limit the ability of competitors to do with tradition, and to achieve the companies’ ability to satisfy the demand in a timely manner, shaping it to customer need and expectation, especially after customers became the focal point of any industry and his voice should be heard and attained as customers has a reflection on the achievement of revenue and profits that could contribute to companies competitive advantages and sustainability.
Fecundity and Gonado-somatic Index of Trichiurus lepturus (Linnaeus, 1758) Along the Zamboanga del Norte Coast
Authors: Guillena Ma. Dulce C. 
Published: June 2018

Gonado-somatic index and fecundity are tools for measuring the sexual maturity and ability of animals to reproduce. This study investigates the reproduction of Trichiurus lepturus. Specifically, this aimed to determine the sex ratio, the GSI, the relationship between fecundity and total length, fecundity and total weight, fecundity and ovary weight. The Descriptive Method of research was used. Percentage and chi-square was utilized in determining the percentage of occurrence and sex ratio respectively. Pearson r Product Moment Coefficient of Correlation was used to determine the relationships of the parameters. The study revealed that females outnumbered males and the sex ratio for different month showed significant difference. Spawning season was observed to occur in November and December as revealed in its GSI values and it synchronized with the full and new moon phases. Fecundity is positively correlated with body weight, body size, and ovary weight where ovary weight is observed to be the best index for fecundity. The results of this study could be used further for formal stock assessment of cutlassfish fishery.
Comparative Study of Al-TiB2 Composite Fabricated by Different Powder Metallurgical Methods
Authors: Kumar Purushottam , Parhi Shreyanshu , Datta Somak 
Published: June 2018

Aluminium Metal Matrix Composites (AMMCs) are the new class of materials substituting many industrial materials. It is due to its superior qualities compared to conventional materials. AMMCs has found a versatile application because it has aluminium in matrix phase hence light in weight and also it can acquire different properties as per reinforcements used. Sintering is one of the prominent methods used to manufacture AMMCs. Sintering process is used in Powder Metallurgy in which small powdered particles are heated to bond together. The process enhances the strength as well as other mechanical and tribological properties. The technology enables us to shape materials difficult to machine, parts with complex geometries, materials having high melting point, parts with close dimensional tolerances, or to combine different materials which is not possible with any other process. The most important part is that the density of the product can be controlled according to the requirements and thus self-lubricating and wear-resistant parts are possible. The present study has attempted to see if TiB2 can be used as reinforcement in AMMCs produced through powder metallurgy route and the changes in the properties of AMMCs by the different sintering methods adopted. The compacted preforms of varying compositions of reinforcement were prepared and sintered through three different methods i.e. Microwave sintering, Conventional sintering and Hot-pressing to study the changes in the properties. A comparative study has been done between the three sintering methods to see the limitations and scope for improvement.
Role-Evolution in Role-based Access Control System
Authors: A Suganthy. , Chithralekha T. 
Published: June 2018

Security is a major concern in today’s digital world. Role based access control provides a mechanism for protecting the digital information in an organization by assigning roles to the individual user and giving permissions to the assigned roles for accessing any resources. This paper describes the importance of roles in an organization and the evolutionary changes that occurs with respect to the organizational roles. Here the role is defined as an entity and the attributes of the roles have been identified with their related operations. The evolutionary changes that happens to the roles in an organization is identified and evolutionary algorithms have been proposed to handle these changes which helps in simplifying the formulation of access control policies.
Power Generation for India with Higher Efficiency
Authors: P Umeshkannan , KG Muthurajan 
Published: June 2018

The developed countries are consuming more amount of energy in all forms including electricity continuously with advanced technologies. Developing nation’s energy usage trend rises quickly but very less in comparison with their population and their method of generating power is not seems to be as advanced as developed nations. The objective function of this linear programming model is to maximize the average efficiency of power generation inIndia for 2020 by giving preference to energy efficient technologies. This model is subjected to various constraints like potential, demand, running cost and Hydrogen / Carbon ratio, isolated load, emission and already installed capacities. Tora package is used to solve this linear program. Coal, Gas, Hydro and Nuclear sources can are supply around 87 % of power requirement . It’s concluded that we can produce power at overall efficiency of 37% while meeting a huge demand of 13,00,000 GWh of electricity. The objective function shows the scenario of highaverage efficiency with presence of 9% renewables. Maximum value is restricted by low renewable source’s efficiencies, emission constraints on fossil fuels and cost restriction on some of efficient technologies. This model shows that maximum 18% of total requirement can be met by renewable itself which reduces average efficiency to 35.8%. Improving technologies of renewable sources and necessary capacity addition to them in regular interval will enhance their role and existence against fossil fuels in future. The work involves conceptualizing, modeling, gathering information for data’s to be used in model for problem solving and presenting different scenarios for same objective.
A Novel Mechanism for Detecting DOS Attack in VANET Using EAPDA
Authors: D Sheethal , H.K Chandrashekhar 
Published: June 2018

Security is the major concern with respect to the critical information shared between the vehicles. Vehicular ad hoc network is a sub class of Mobile ad hoc network in which the vehicles move freely and communicate with each other and with the roadside unit (RSU) as well. Since the nodes are self organized, highly mobile and free to move therefore any nodes can interact with any other node which may or may not be trustworthy. This is the area of concern in the security horizon of VANETs. It is the responsibility of RSU to make the network available all the time to every node for secure communication of critical information. For this, network availability occurs as the major security requirement, which may be exposed to several threats or attacks. The vehicles and the RSU are prone to several security attacks such as masquerading, Sybil attack, alteration attack, Selfish driver attack, etc. Among these Denial of Service attack is the major threat to the availability of network. In order to shelter the VANET from DoS attack we have proposed Enhanced Attacked Packet Detection Algorithm which prohibits the deterioration of the network performance even under this attack. EAPDA not only verify the nodes and detect malicious nodes but also improves the throughput with minimized delay thus enhancing security. The simulation is done using NS2 and the results are compared with earlier done work.
Impact of Tactile Internet over Skill Set
Authors: Siddiqha Ayesha , Firdose Harisa 
Published: June 2018

Using 5G advances, ultra-low delay networking, AI and robotics, this paper brings out the emergences of innovative internet to deliver the skills digitally. We are discovering the technical challenges which are to be suppressed in order to achieve that vision that is to implement all the inventive ideas that are vision to be accomplishes in future days. This idea would unwrap all the techniques to develop a 5G tactile internet, AI and systematized haptic codecs. This paper concludes the general idea on the current potential and the uniform initiatives in 5G tactile internet standards.
Link-Level Simulator for Wireless local Area Network
Authors: U Chaithra. H. , H.R Vani 
Published: June 2018

Now a days in Wireless Local Area Networks (WLANs) used in different fields because its well-suited simulator and higher flexibility. The concept of WLAN with advanced 5th Generation technologies, related to a Internet-of-Thing (IOT). In this project, representing the Network Simulator (NS-2) used linked-level simulators for Wireless Local Area Networks and still utilized IEEE 802.11g/n/ac with advanced IEEE 802.11ah/af technology. Realization of the whole Wireless Local Area Networking linked-level simulators inspired by the recognized Vienna Long Term Evolution- simulators. As a outcome, this is achieved to link together that simulator to detailed performances of Wireless Local Area Networking with Long Term Evolution, operated in the similar RF bands. From the advanced 5th Generation support cellular networking, such explore is main because different coexistences scenario can arise linking wireless communicating system to the ISM and UHF bands.