IARJSET aligns to the suggestive parameters by the latest University Grants Commission (UGC) for peer-reviewed journals, committed to promoting research excellence, ethical publishing practices, and a global scholarly impact.
AN EXPERIMENTAL INVESTIGATION OF ECO-FRIENDLY SELF-CURING CONCRETE INCORPORATED WITH POLYETHYLENE GLYCOL
MOHANRAJ A, RAJENDRAN M, RAMESH A S, MAHALAKSHMI M, MANOJ PRABHAKAR S
Abstract: The aim of this investigation is to study the strength and durability properties of concrete using water-soluble Polyethylene Glycol as self-curing agent. The function of self-curing agent is to reduce the water evaporation from concrete, and hence they increase the water retention capacity of concrete compared to the conventionally cured concrete. The use of self-curing admixtures is very important from the point of view that saving of water is a necessity everyday (each one cubic metre of concrete requires 3m3 of water in a construction, most of which is used for curing). In this study, compressive strength and split tensile strength of concrete containing self-curing agent is investigated and compared with those of conventionally cured concrete. It is found through this experimental study that concrete cast with Polyethylene Glycol as self-curing agent is stronger than that obtained by sprinkler curing as well as by immersion curing.
Abstract: Google Glasses are a pair of lenses just like interactive touchscreen primarily developed as an initiative to pervasive computing. Google Glasses have almost all the features of a smartphone and also of the Personal Computer. Google Glasses are obliging in browsing internet, clicking pictures, recording videos. Currently it is supportive and new technology to all individuals and celestial being for handicapped persons. This research paper will discuss some pros and cons of a Google Glasses and how it can be helpful and also detrimental to the society.
Keywords: Google Glasses, Technology, Security, GPS
Abstract: The Internet has emerged as one of the most convenient and widely used media for exchanging information. The Internet of today is faced with many challenges. One of the most intimidating challenges is to ensure security. Pursuing authentication through applicable mechanisms becomes a complex issue. Like other network applications, security issues have become the core issues to be settled. Among other security issues, authentication and access control are the two main fields of security issues, which must be resolved to protect information and computing systems against unauthorized access. This paper explores three authentication techniques, i.e. (i) Private key Cryptosystems (ii) public key cryptosystems (iii) Biometric based authentication and suggest/propose which technique will protect the privacy to authenticate users in an appropriate manner. Finally, the paper presents the comparison of various authentication techniques. The paper will help the readers in better understanding of different techniques and explore the field.
MUTUAL INFORMATION BASED FEATURE SELECTION TECHNIQUES FOR INTRUSION DETECTION
GULSHAN KUMAR
Abstract: A huge amount of high dimensional audit data is the major problem for accurate & quick detection of the intrusions. The audit data may contains some irrelevant & redundant features. Processing of these features by an IDS may increase the computational overhead, decrease the overall accuracy, and delay the process of intrusion detection. Therefore, for accurate & quick intrusion detection, the audit data may be reduced by selecting the most relevant and non-redundant features.In this paper, we explored various feature selection techniques especially mutual information (MI) based filter feature selection techniques. An updated review of the important techniques in literature is presented. The review will help the better understanding of different directions in which research has been done in the field of feature selection. The findings of this paper provide useful insights into literature and are beneficial for those who are interested in applications of MI based feature selection techniques to IDS and related fields. The review also provides the future directions of the research in this area.
Abstract: “Metamaterial” attracts researchers of various areas and research grown rapidly in this area. The unusual response of these metamaterials are often generated by artificially fabricated additions or in-homogeneities embedded in a host medium or associated to or implanted on a host surface. A microstrip antenna based on the concept of metamaterial has been proposed in this work. Various aspects of the antenna such as size, radiating frequency, bandwidth, beamwidth, gain and directivity have been taken under consideration. With this design the return loss of - 38.4 dB has been achieved at the frequency of 2.2 GHz.
CARBON SEQUESTRATION TECHNOLOGIES A TECHNO-ECONOMIC REVIEW
VISHNU SHARMA A, HEMANT BHERWANI
Abstract: CO2 sequestration and storage is getting a remarkable attention due to potential Greenhouse Gas mitigation method for the fossil fuel power plant. Economic analysis of various available technologies is a very important tool in deciding the best carbon capture technology. Thus, particular studies often are limited values to analysts, researchers and industrial personnel who are in search of results for alternative cases. In this article we have discussed the current costs of fossil fuel power plants with carbon capture techniques. The major 3 plant types are considered here are pulverized Coal (PC), Natural Gas Combined Cycle plants (NGCC), and Integrated Gasification Combined Cycle (IGCC). Along with these three plants, comparison of the cost of electricity of NGCC + MCFC (Molten Carbonate Fuel Cell) plant with conventional NGCC + MEA (mono-ethanol ammine based CO2 capture system) is done.
COMPARATIVE ANALYSIS OF POWER FACTOR CORRECTION TECHNIQUES FOR AC/DC CONVERTER AT VARIOUS LOADS
NIKITA KOLTE, N. B. WAGH
Abstract: In this paper, two generalized topologies of single stage circuits such as Boost+flyback converter & Quasi active power factor correction (PFC) converter circuits are designed and their performance comparison is presented. Converters connected to the mains have the potential of injecting current harmonics that may cause voltage distortion. These harmonics can be significantly reduced if the input power factor is corrected by shaping the input current so that it is sinusoidal and in phase with the supply voltage. In the proposed quasi active PFC system, the power factor is drastically improved by using an auxiliary winding coupled to the transformer of a cascade dc/dc fly back converter. The proposed converter is presented and compared with boost+flyback converter for different loads and inputs. Simulations and analysis are carried out in MATLAB/SIMULINK with this control method for both systems and the results presented show the effectiveness of the improved converter topology.
Keywords: AC/DC converters, power factor correction (PFC), single stage, Fly back converter, total harmonic distortion (THD)
Abstract: This paper reviews methods to protect social network data for the past 20 years. The social networking sites are the service providers who always used to be connected with peoples to share the information like photos, videos and personal messages. As the social networks usage grows, the risks behind them also increases. That makes the hackers, spammers, virus writers to attack the vulnerable nodes. Many users have problems for publishing posts and photos in a way that will protect them from the undesirable side effects to their online identities to support users' desire for "interactional privacy". Protection of the user‟s private sphere in online dealings with other people has suggested some improvements which have already been made for the networks such as Facebook. In a practical setting, however, these improved means are either too rigid to do justice to users' multifaceted habits or they are very complicated to manage because they try to solve a host of different problems all at the same time. An intruder may impose the privacy of the node with the help of published social network data and some background knowledge. For better privacy, the identities of the label such as social security number (SSN) of an employee, disease of a patient, etc., are replaced by some unique identity.
Keywords: Social Networking, Hackers, Virus, Facebook, Intruder, Privacy, Security
ARDUINO BASED CAN PROTOCOL IMPLEMENTATION IN VECHICLE CONTROL SYSTEM
S SHANMATHI, PROF. C KAMALANATHAN, DR. S.M RAMESH, DR. S VALARMATHY, B PREETHI
Abstract: Based on requirements of modern vehicle, in- vehicle Controller Area Network (CAN) architecture has been implemented. In order to reduce point to point wiring harness in vehicle automation, CAN is suggested as a means for data communication within the vehicle environment. The benefits of CAN bus based network over traditional point to point schemes will offer increased flexibility and expandability for future technology insertions. This paper presents the development and implementation of a digital driving system for a semi-autonomous vehicle to improve the driver- vehicle interface. It uses an ARDUINO based data acquisition system that uses ADC to bring all control data from analog to digital format and visualize through LCD. The communication module used in this project is embedded networking by CAN which has efficient data transfer. It also takes feedback of vehicle conditions like Vehicle speed, Engine temperature etc., and controlled by main controller.
Keywords: Control Area Network(CAN), collision avoidance system
Abstract: I believe the problem of construction online engine-learned model designed for detect public sale scams within e-commence net sites. Since the coming out of the World Wide Web, online shopping and online public sale have gained extra and more popularity. While citizens be enjoying the benefits from online trade, criminal are also taking reward on the way to demeanor scam lent actions alongside sincere parties to obtain illegal profit. Hence proactive scam-detection control systems are commonly applied in practice to become aware of and avert such banned and scam activities. Engine-learned models, singularly folks that are learned online, are talented to catch scams more efficiently and speedily than human-tuned rule-based systems. In this paper, I recommend an online honesty model framework which takes online feature option, coefficient boundaries from human being knowledge and several instances learning into version simultaneously. as a result of experimental experiment on a real-world online public sale scam exposure statistics I show that this reproduction can potentially distinguish more scams and significantly trim down client complaint compare to quite a few baseline model and the human-tuned rule-based organization.
Keywords: Online; anti-phishin;, URL similarit;, ip matching; image matching.
Abstract: Phishing, a criminal act of gathering personal, bank and credit card information by sending out forged e- mails with fake websites, has become the most popular recitation among the criminals of the Web. Phishing attacks are becoming more and more sophisticated and are constantly on the rise. Phishing is a major threat to information security and personal privacy. The total number of URLs used to host phishing attacks are increased to 1, 75,229 in the second quarter of 2013, up from 1, 64,023 in the first quarter of 2013 according to APWG, a Phishing Activity Trends Report. Many anti-phishing solutions, such as content analysis and HTML code analysis, rely on this property to detect fake web pages. However, these techniques failed, as phishers are now composing phishing pages with non-analyzable elements, such as images and flash objects. This paper proposes a new phishing detection scheme based on URL domain similarity, IP matching and image matching. This paper correctly estimates the phished website in three phases. At first it estimates similarity with authorized URL database, here itself we eliminate, in second phase we confirm based on IP matching and in final phase we find number of key-points matched.
Abstract: This paper reviews methods to secure objects for the past 30 years. Data Disclosure Preventing Techniques such as uncertainty function and two data transformation technique are depicted. Privacy Homomorphism And Encryption Methods such as Commercial Masking facility algorithm (CDMF), markov-like perturbation and decryption of perturbation are also discussed in detail. The Knowledge Discovery Data Mining Techniques to Preserve Privacy such as generalization, suppression are elaborately studied. Partition-And-Group Framework for Clustering Trajectories TRACLUS algorithm, natural spatio-temporal operators are also elaborately studied. Decentralization Methods to Preserve Privacy location including k-anonymity and cloaking granularity as privacy metrics, a new incremental clique- based cloaking algorithm, called ICliqueCloak, to defend against location dependent attacks was discussed. Dummy Node and Cloaking Region Security Methods and Location Based Services for Securing Moving Data Objects are described
Keywords: Data Disclosure, Encryption, Knowledge Discovery Data Mining, spatio-temporal databases, database privacy
PRIVACY PRESERVING PERSONAL HEALTH CARE DATA IN CLOUD
V.M.PRABHAKARAN, PROF.S.BALAMURUGAN, S.CHARANYAA
Abstract: Developing strategies to securely store data across cloud is a much focused topic of research in recent days. Cloud computing focuses on maximizing the effectiveness of the shared resources. Cloud storage provides a convenient means of storing and retrieval of huge amount of data. Personal Health Records (PHRs) should remain the lifelong property of patients and should be displayable conveniently and securely to selected caregivers. My PHR Machines a patient centric system that takes a radically new architectural solution to health record interoperability. Patients Can Upload their Medical data then they access and share through remote Virtual machine. We have made a literature survey on techniques to protect PHRs and find open prototype of My PHR Machines supports the use case of a real world patient scenario.
Keywords: Cloud Computing, Personal Health Records (PHRs), MyPHRMachines, Medical data, Virtual Machine