Miracle-dz/UniFAR-FTUs huggingface dataset:
Intrusion Detection in Industrial Automation by Joint Admin Authorization

Intrusion response is a more important part of security protection. In industrial automation systems (IASs) have achieved maximum and availability attention. Real-time security policy of intrusion response has big challenge for intrusion response in IASs. The loss caused by the security threats may even increase the industrial automation. However, traditional approach in intrusion detection pays attention on security policy decisions and removes security policy execution. Proposed system presents a general, real-time control depends on table driven scheduling of intrusion detection and response in IASs to resolve the problem of security policy like assigning rights to use the system. Security policy created of a security service group, with every kind of security techniques supported by a realization task set. Realization tasks from different task sets can be combined to form a response task set. In this approach, first, a response task set is created by a non dominated genetic algorithm with joint consideration of security performance and cost. Then, the system is re-configured via an integrated scheduling scheme in which system tasks and response tasks are mapped and scheduled together based on a GA. Additionally, this system proposed Joint Admin Model (JTAM) model to control over unauthorized access in industrial automation system. Furthermore, proposed method shows result of industrial automation for security mechanism. Security policy helps to authenticate user request to access industrial resources.
Live Migration using VM/TPM Protocol of Virtual Machine on Private Cloud

— Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive. The cloud is just a metaphor for the Internet. The on premises private cloud demands the security on data expansion. The concept of virtualization plays a vital role in providing secure cloud computing. The virtual machines which are emulation of a computer system over the cloud are combination of hardware and software. For achieving energy efficiency, load balancing and high availability of physical server in Cloud Data Center, the virtual machines should be migrated from one physical server to another. The migration process is not reliable until it provides security to the transferring data over the cloud. For this purpose VM-vTPM protocols can be used. vTPM should be migrated to the desired platform together with its corresponding virtual machine. Only vTPM are not secure enough so VM-vTPM comes forward to solve these issues. In this paper, we focus on the secure implementation of virtual machine migration from one platform to another platform in private cloud model. We propose a thorough and secure VM-vTPM migration scheme. In this scheme we first propose a vTPM key structure to make non-movable vTPM keys to be sent. Then we depend on this structure to construct a secure VM-vTPM migration protocol which includes three phases. The first phase is a dual authentication between source platform and destination platform, the second phase is the migration of vTPM, and the third phase is the migration of VM. Finally, we analyze the security of our protocol to make sure our proposed protocol can realize all the security goals such as confidentiality and integrity, authentication of source and destination platform, preserving the association between VM and vTPM, and atomicity of the transfer.
Analysis and Implementation of an Improved Flyback Inverter for Photovoltaic AC Module Applications

Flyback inverter has the advantages such as compactconformation, simple control loop, electric isolation, high step-up ratio, high efficiency, etc., therefore is an attractive solution for photovoltaic ac module applications. In this topology, BCM is more preferred compared to DCM and CCM, because of its higher power level, higher efficiency and wider switching frequency bandwidth. However, the control of BCM is more complicated due to its vari-able switching frequency. This also leads to the difficulty to get the accurate mathematical model between the output current io u t and the reference current ir e f , which has a great influence on the THD This paper analyzes and proposes a mathematical model between io u t and ir e f in BCM through theoretical derivation, and proposes a novel control strategy to generate the reference current that can decrease THD of output current. Meanwhile the realiza-tion of MPPT based on the mathematical model is also investigated. Finally, simulation and experiment results based on an improved flyback-inverter prototype are presented, which validates the pro-posed mathematical model and the control strategy.
Scrutinize : Fault Monitoring for Preventing System Failure in Cloud Computing

Fault tolerance means a resource keeps on functioning irrelevant of the faults occurring in it so that the expecting task is completed on time and required results can be generated. Revolution in Computer Science can be easily seen with the development of the emerging trends of computing such as Cloud Computing. Prominence of this technology can be validated easily with its phenomenal features as pricing-per-use, scalability and on demand availability of computing resources. But at the same time there are some issues associated with it. Availability of the required service, Reliability of the resources, Security of the information are some of the key points where research work is still needed to find ways for handling these issues. By implementing appropriate Fault tolerance technique in Cloud Computing the above mentioned problems can be resolved. Types of faults in cloud computing and techniques available for handling them are discussed in this paper. Some of the information relevant to proactive fault tolerance by fault monitoring based on Nagios is also discussed here.
A Survey on Automatic Bug Triage Techniques

—The process of fixing bug is bug triage that aims to properly assign a developer to a brand new bug. Software system firms pay most of their value in managing these bugs. To reduce time and price of bug triaging, we present an automatic approach to predict a developer with relevant expertise to resolve the new coming report. In proposed approach we have a tendency to do data reduction of bug data set which can reduce the dimensions of the data still as increase the standard of the data . We are using instance selection and feature selection technique at the same time with historical bug data. We have added a new module here which will describe the status of the bug like whether it assigned to any developer or not and it is rectified or not. In addition, the load between developers based on their experience is re-balanced. The experimental results show that the planned theme will effectively improve the detection performance compared with previous methods
Research Article CODEN: IJPRNK ISSN: 2277-8713 Prasansha Ghosh, IJPRBS, 2015; Volume 4(5): 315-327 IJPRBS

The present paper reviews and summarises the role of Clostridium novyi NT as newer approach in the treatment of Cancer. Cancer is one of the leading causes of deaths worldwide but there is still no definite cure of cancer despite the rapid developments in the conventional modalities of treatment. Organisms such as Clostridium novyi NT, Streptococcus pyrogens, Salmonella typhimurium etc were used in the treatment. C. Novyi NT is a clone derived from C. Novyi after elimination of the major systemic toxin gene from the parenteral strains.It is used maily due to its ability to propagate in tumor generated hypoxia. The bacteria are an oncolytic agent that’s why it is used with the combination of chemotherapy & radiotherapy. C Novyi NT has shown promising results in many researches without or lesser side effects. Further research works are needed to study effects in various forms of cancer, toxic effects and to standardize the treatment regimen so as to make it effective in all types of cancers which may eventually reduce the cost of treatment and make it available for common sufferers.
Assembly of an Experimental Quad-Rotor Type UAV for Testing a Novel Autonomous Flight Control Strategy

In this research a prototype experimental Quadrotor type UAV have been assembled using low cost components easily available in the Indian market. The quad-copter is used for testing a novel autonomous flight control strategy developed using embedded system. In order to enable a mini-UAV to perform target acquisition, localization and continuous surveillance in real world environment one must develop a technology which may be a combination of aircraft engineering, control systems, and wireless communication. The major limiting factors in developing the capabilities of small low cost UAVs are connectivity, computational processing power and lack of resource integration. To overcome these limitations in this research we have tried to assemble an experimental quad-rotor prototype UAV capable of being remotely controlled in the range of 20 meter, which is specifically designed as an economical, moderately functional, small airborne platform intended to meet the requirement for fast-response to time-critical events in many small private sectors or government agencies. The experimental prototype quad-copter has been successfully implemented and tested for 15 minutes smooth flight time.
We Recommend: Recommender System based on Product Reviews

Online reviews are a form of free text that has information about user’s experience and their issues with the product. This information is a rich source for a company’s business intelligence which can be harnessed for the purpose of personalization, product recommendation and better customer understanding. This paper proposes WeRecommend, a recommender system that makes use of consumer opinion expressed online about products, to generate product recommendations. It performs comparisons among a multitude of products, based on opinions provided in reviews by users who have had an experience with the product and recommends much better products. It not only considers the strength of each user’s opinion
FORMULATION AND EVALUATION OF ELEMENTARY OSMOTIC TABLETS OF LAMIVUDINE AND STAVUDINE IN FIXED DOSE COMBINATION

Most of the conventional drug delivery systems for treating the HIV/AIDS are not much effective as the drugs do not reach the site of action in appropriate concentrations. The objective of present study was concerned with formulation and evaluation of an elementary osmotic tablet of lamivudine and stavudine in fixed dose combination in order to improve efficacy and better patient compliance. Tablets were prepared by wet granulation method using various proportions of polymer PEG 4000 along with Kcl as osmotic agent. The granules were evaluated for angle of repose, bulk density, tapped density and compressibility index, shows satisfactory results. Compressed tablets were evaluated for uniformity of weight, drug content, thickness, friability, hardness and in-vitro dissolution studies. From the in-vitro drug release study the osmotic tablets containing PEG 4000 (20mg) and kcl (40mg) showed 96.06% drug release in 24 hrs which was well controlled in comparison with other conventional preparations. The in-vitro release data from the osmotic tablets showed zero order pattern and the mechanism was nonFickian. The results also indicate that the osmotic drug delivery system may be successfully utilized for the controlled delivery of Lamivudine and Stavudine up to 24hours.
SLEEP SCHEDULING FOR CRITICAL EVENT MONITORING IN WIRELESS SENSOR NETWORKS

: Over the past decade, local monitoring has been shown to be a powerful technique for improving security in multihop wireless sensor networks (WSNs). However, local monitoring as it is currently practiced is costly in terms of energy consumption. Sleep-wake protocols are critical in sensor networks to ensure long-lived operation. However, an open problem is how to develop efficient mechanisms that can be incorporated with sleep-wake protocols to ensure both long lived operation and a high degree of security. To overcome this problem by using local monitoring, each node oversees part of the traffic going in and out of its neighbors to determine if the behavior is suspicious, such as, unusually long delay in forwarding a packet. Here, a protocol is used to make local monitoring parsimonious in its energy consumption and to integrate it with any extant sleep-wake protocol in the network. Analytically proved that the security coverage is not weakened by the protocol. Then perform simulations in GLOMOSIM to demonstrate that the performance of local monitoring is practically unchanged.
Role of Mindfulness‐Based Cognitive Therapy in Alleviating Psychological Distress among Cancer Patients

The purpose of this research was to examine the research literature on role of Mindfulness-Based Cognitive Therapy in alleviating psychological distress among cancer patients. World Health Organization and medical experts have expressed alarm about constantly the growing problem of cancer patients in the world. The researcher emphasize that the diagnosis of cancer not only has obvious physical ramifications for the patient, but also the trauma of a diagnosis produces psychological problem such as somewhat hardly manageable distress as well, and in the face of psychological stressors that negatively impact the patient’s overall quality of life. The present study examined the results of various studies, for identifying the potential efficacy of MBCT as it could be applied to patients with cancer which presents psychological distress. Research on Mindfulness-Based Cognitive Therapy has supported the safety and effectiveness of this approach might be used with distress associated problems among cancer patients also other studies obtained results signified the effectiveness of this therapy while dealing with cancer patients showed significant impact in alleviating different type of problems associated with this disease. It suggests need for a comprehensive solution that combines medical, psychological, social and behavioral approach to this complex problem in initiating the distress of cancer patients.
An Essential Review on Current Techniques Used in Angiogenesis Assays

Angiogenesis is a complex process involving extensive interplay between cell soluble factors and extra cellular matrix (ECM) components. This review is aimed to describe and discuss the high precision and easiest method for the determination of potent angiogenic substance Angiogenesis activity can be evaluated by using in-vivo, in-vitro and organ culture assay systems. In-vitro assays are performed by using different types of endothelial cells isolated from either capillaries or large vessels. Mostly used cell lines are Bovine aortic endothelial cells (BAECs), Chicken endothelial cells (CECs) and Human umbilical vein endothelial cells (HUVECs) as well as by Langendorff isolated heart model. The advantages of these in-vitro systems include the possibility to control the different parameters i.e. the spatial and temporal concentration angiogenic mediators can be possible. And easy to study individual steps in the angiogenic process. According to this elaborated review on various angiogenesis assays in-vitro models are easier when compared to in-vivo models. In in-vivo models, the matrigel plug assay is the easiest model when compared to hind limb ischemia and all other models. Other than the pre-mentioned two models in-ova model chick chorioallantoic membrane assay is mostly used as a pilot method for most of the angiogenesis evaluation studies. Corneal angiogenesis assay and matrigel plug assays also used for the evaluation of anti-angiogenic agents. When compared to all other angiogenesis quantification methods capillary density estimation source will give a better accuracy and precession. Hemoglobin estimation also easiest method when compared to all other quantification methods.
Formation Control and Obstacle Avoidance in Swarm Robots

Summary This paper presents an approach for formation control and obstacle avoidance of a swarm robot (SR). Swarm robots are significant with their various tasks and range of applications, and also because they can identify and describe the challenges that need to be resolved in the real world. This work proposes a new formation control and an obstacle avoidance method for the dynamic region of swarm robot systems in order to prove SRs' ability to manage their formation by scaling and rotating while moving. Here, the Gradient Descent formula is adopted to update the range and the robot orientation vector of the SRs systems. Simulink MATLAB is also used to simulate the formation controller performance and the obstacle avoidance. The distributed formation control and the switching formation strategy for obstacle avoidance are illustrated in order to show the effectiveness of our proposed algorithm. We conclude that our method is easy to implement and achieve, not only the required distributed formation control and Obstacle Avoidance, but also to contribute to the usage in the tracking method.
A Frequent Pattern based Search Implementation for User Search Goals

: Generation of query oriented relevant information from search engine is always an interesting research issue in the field of information retrieval. Satisfying the user search goal is a complex task while searching user specific query, because of billions of related and unrelated data available over the network. In this proposed approach we are proposing an empirical model of search mechanism with FP Tree for finding frequent use of patterns (sequence of Urls) and evolutionary algorithm for optimal results with efficient feedback sessions (based on query clicks ) are constructed from user click-through logs and can efficiently reflect the information needs of users.
Analysis of White Blood Cells for Malaria Detection

Malaria is a diseases caused by bacteria, viruses or parasites transmitted by mosquitoes. It is a serious global health problem. The current way of malaria parasite diagnosis is microscopic observation of the blood slide by a trained and experienced lab technician which takes more time and expensive due to the complex contents of the blood smear and the expertise requirement. This paper proposes a combination of color and morphological based segmentation techniques for blood cells segmentation on microscopic images. K-means clustering is implemented for color based clustering and primary segmentation of the image. The clustering is cascaded into two layers for cell recognition and background elimination. The proposed method overcomes the problem of previous work which is over segmentation and efficiently segments the WBC cells and keeps cytoplasm unaffected. Keywords-blood cells segmentation; k-means clustering;
SENTIMENT ANALYSIS BY ASSOCIATING MODIFIED K MEANS WITH NAÏVE BAYES CLASSIFICATION AND SUPPORT VECTOR MACHINE

Sentiments, evaluations, attitudes, and emotions are the subjects of study of sentiment analysis and opinion mining. The inception and rapid growth of the field coincide with those of the social media on the Web, e.g., reviews, forum discussions, blogs, micro blogs, Twitter, and social networks, because for the first time in human history, we have a huge volume of opinionated data recorded in digital forms. Since early 2000, sentiment analysis has grown to be one of the most active research areas in natural language processing. It is also widely studied in data mining, Web mining, and text mining. In fact, it has spread from computer science to management sciences and social sciences due to its importance to business and society as a whole. In recent years, industrial activities surrounding sentiment analysis have also thrived. Numerous startups have emerged. Many large corporations have built their own in-house capabilities. Sentiment analysis systems have found their applications in almost every business and social domain. The goal of this paper is to give an introduction to this fascinating problem and to present a framework which perform sentiment analysis on online mobile phone reviews by associating modified K means algorithm with Naïve bayes classification and Support vector machine.
Po-Fit with the mediation effect of Organizational Climate on Organizational Role Stress. The Step by Step Regression analysis by Baron and Kenny’s (1986) using mediation effect

Baron and Kenny (1986) proposed a four step approach in regression analysis to find out the mediating effect of one variable on other variables. The mediation model helps to examine the observed relationship between dependent and independent variables through the intervene variable known as mediator. Mediating variable explores the known relationship by which one variable influences the other variable through intervening variable. To make it clear, the real data is used for the application of mediating effect in regression analysis on stress management. In the point of application, the study has taken three variables, Organizational Climate (OC) as mediating variable, Person Organization Fit (Po-Fit) as independent variable and Organizational Role Stress (ORS) as dependent variable. The data has been collected from the employees of Original Equipment Manufacturing Units (OEM), Tamil Nadu. The result concluded that PO-Fit influenced ORS with partial mediation of Organizational Climate.
Influence of Market Orientation on Ethical Responsibility Special Reference to the Licensed Commercial Banks in Batticaloa

ABSTRACTConcerns and awareness of ethical issues have increased among the society and customers in the past few decades. Therefore society and customers expect marketers to be involved their business in ethically responsible manner. Thus it becomes necessary for the market orientated businesses to adopt ethical responsibility to fulfill the social expectations of their customers and society. Hence marketers are expected to develop a ethical responsible business behavior. This study examined the research problem of whether market orientation influences ethical responsibility in the Sri Lankan banking sector. This research was carried out with the objectives of evaluating market orientation and to analyze the influence of market orientation on ethical responsibility in the banking sector. Furthermore conceptual model has been developed to link market orientation and ethical responsibility. Customer orientation, competitor orientation and inter functional coordination are considered as the measurement variables of market orientation and it was derived from Narver and Slater (1990). Quantitative methodology has been applied for this research and questionnaires were used to collect data. 27 managers and 154 staff from whole licensed commercial banks in Batticaloa district have been selected for this study. Mean, standard deviation, correlation and multiple regressions have been used for the analysis. Findings have shown that market orientations of licensed commercial banks are at higher level. Furthermore it was also found that there is a positive relationship between market orientation and ethical responsibility; and market orientation significantly influences ethical responsibility of the licensed commercial banking entities. These findings would be useful to foster ethical responsible business behavior among the entities and industries which will satisfy customers that are socially conscious and also will meet the expectations of various stakeholders.