Earlier Research Work Research Articles

Hybrid Intrusion Detection Algorithm for Private Cloud

Detection and Prevention of Intrusion in the cloud environment is a tedious process. The main objective of this research work is to propose a Hybrid Intrusion Detection algorithm for private cloud environment which is efficient interms of security and performance. A detailed study has been carried out on the existing Intrusion detection systems, which gives a clear view that existing system cannot detect intrusion effectively. Artificial Intelligence has been incorporated in the research work to detect any type of intrusion in private cloud environment. Incorporating Artificial Intelligence technique resulted in self adapative Intrusion Detection System, which has been tested using the real time data collected using the network speed. Implementation of the research work gives a clear view about the efficiency of the algorithm in terms of security and performance, which has not been considered in the earlier research work. Detailed statistical analysis has been carried out as a part of the research work to prove the correctness of the proposed algorithm. The result of the implementation and analaysis gives a clear scope for further research work on Intrusion Detection System for cloud based environment. The proposed algorithm can be implemented for highly secured private cloud which are built for Military purpose and Banking sector to monitor the activities of the network efficiently. Keywords: Artifical Intelligence, Intrusion Detection System, Performance, Private Cloud,Security

Influence of crystallographic orientation on cavitation erosion resistance of high interstitial CrMnCN austenitic stainless steels

The excellent resistance of high interstitial CrMnCN austenitic stainless steels to cavitation erosion was ascribed to strengthening by C+N and the low stacking fault energy causing improved resistance to fatigue and superior mechanical properties. Previous investigations revealed correlation of crystallographic orientation and cavitation erosion damage. In this study, different CrMnCN steels were investigated by ultrasonic cavitation testing. Results were correlated with indentation-derived properties. Alteration of the surface during cavitation was examined by scanning electron microscopy and electron back scatter diffraction. The investigations show influences of crystallographic orientation on the cavitation resistance of individual grains. A relationship between cavitation resistance and hardness and elastic indentation energy was derived in earlier research work. This study shows similar relationship for individual grains.

Reviving a Lost Potential of the Chicago School of Sociology?

This paper traces the effects of anti-Asian politics and immigration exclusion in shaping early studies of Asian migration in the Pacific region, in particular within the United States, Canada, and Australian. Yu argues that there are collaborative community research approaches that marked early 20th century studies of Asian migrants to North America that should be recovered, a lost potential of early survey research work of the Chicago school of sociology in general.

Protection Strategies for Medium-Voltage Direct-Current Microgrid at a Remote Area Mine Site

This paper presents protection strategies for a medium-voltage dc (MVDC) microgrid at a remote area mine site. The microgrid is operated to provide high power quality and reliability to sensitive loads and to improve the energy efficiency of the mining equipment. In the MVDC microgrid, various local distributed energy resources have been used, including photovoltaic arrays, wind turbines, a fuel-cell stack, an energy storage system, and mobile diesel generators. For the protection of transmission lines, a communication-based differential protection scheme with solid-state electronic relays is employed to isolate the faulted part of the MVDC microgrid. This is further reinforced by dc overcurrent protection as a backup. Earlier research work had neglected the backup protection for dc systems. In addition, communication-based dc directional overcurrent protective relays are used for both source protection and load protection to support a bidirectional power flow. MATLAB/Simulink modeling and simulation results are presented and discussed to illustrate the proposed system's dependability and security.

A novel solar absorption refrigeration system using the multi-stage heat storage method

This paper introduces a multi-stage heat storage system using phase change materials with different melting points into the heat pump solar absorption refrigeration system which proposed by our earlier research work. Using meteorological data for the city of Nanjing, the performance of the novel system with a cooling capacity of 10kW is quantitatively analyzed: (1) More than 91m2 of solar collection area is required for the single flat-plate collector to satisfy the daily need of cooling. (2) Four different types of collectors, including single flat-plate collector, all-glass vacuum tube collector, heat pipe evacuated tube collector, and compound parabolic vacuum tube collector are compared. The results of solar collection areas show that the difference among them is not significant. Considering the building adaptability and production cost in the application designs, single flat-plate collector is preferred. (3) The coefficient of performance for the system with multi-stage heat storage system is approximately 1.3–2.4 times to that with the corresponding single-stage heat storage system at the given conditions. (4) The coefficient of performance of the novel system increases with the melting points of the phase change materials in the heat storage system when the solar radiation intensity is high (0.8kW/m2), and behaves the opposite when the solar radiation intensity is low (0.3kW/m2).

Nanofinishing of freeform surfaces (knee joint implant) by rotational-magnetorheological abrasive flow finishing (R-MRAFF) process

Freeform complex surfaces have become an inevitable part of many devices to perform specific functions. Some of these components require nanolevel surface roughness value to meet the desired requirements in their applications. Finishing of freeform surfaces to nanometer surface roughness value is always difficult for any process. Rotational-magnetorheological abrasive flow finishing (R-MRAFF) process has been applied so far for finishing internal surfaces of relatively simple geometry. In this work, an attempt has been made to improve external topography of freeform surfaces using this process. Large hydrodynamic pressure coupled with magnetic fluid is the principal idea behind these experiments. A smooth mirror like finished surface is achieved with improved finishing rate (nanometer/min) by controlling two motions (axial and rotational) simultaneously on stainless steel workpiece similar to knee joint implant. Magnetorheological polishing fluid with different mesh sizes of abrasive particles and at different extrusion pressures is used to reduce final surface roughness value, to increase uniformity of surface finish on the freeform surface and to enhance finishing rate. Surface roughness ranging from 35 to 78nm is achieved at various locations as compared to larger variation in Ra value obtained in the earlier research work.

Software Development Roles

In our earlier research work, we developed a conceptual framework that identifies the di?erent types of roles that can exist in contemporary software development projects (including both agile and traditional software development approaches). The purpose of the framework is to assist software project managers when tuning software development project roles to the demands of individual projects, with our previous research indicating that there is a need to tailor software development roles to individual projects. In this work, we extend the earlier research through the use of a series of semi-structured interviews within seven Turkish software companies. The results, which are consistent with previous findings, offer further evidence of the usefulness of the framework, while also identifying possible areas for future work in this space.

In the Footsteps of Looters: Assessing the Damage from the 2011 Looting in the North Cemetery at Abydos

The 2013 field season of the Institute of Fine Arts, New York University Abydos Expedition, made possible in part by support from ARCE’s Antiquities Endowment Fund, focused on the systematic investigation, documentation, and condition assessment of archaeological features in the North Cemetery at Abydos that had been targeted by looters in early 2011. Although in some instances the damage to buried architecture and other archaeological features was found to be severe, much was determined to be quite superficial. The 2013 looting damage assessment excavations explored features from a wide range of periods, from the Middle Kingdom through Late Antiquity, and revealed significant new information about the history of ancient activity at the site, considerably expanding upon the understandings gained from the work of early researchers more than a century ago.

Trade unions at the workplace

AbstractThe early research work of Lord McCarthy was innovative in terms of both method and findings. His analysis of the closed shop revealed its extent and growth to be far greater than then thought. His subsequent analysis of the role of shop stewards had a profound effect on the 1968 Report of the Royal Commission on Trade Unions and Employer Associations. It also pioneered the use of surveys in industrial relations research.

A brief review on viscosity of nanofluids

Since the past decade, rapid development in nanotechnology has produced several aspects for the scientists and technologists to look into. Nanofluid is one of the incredible outcomes of such advancement. Nanofluids (colloidal suspensions of metallic and nonmetallic nanoparticles in conventional base fluids) are best known for their remarkable change to enhanced heat transfer abilities. Earlier research work has already acutely focused on thermal conductivity of nanofluids. However, viscosity is another important property that needs the same attention due to its very crucial impact on heat transfer. Therefore, viscosity of nanofluids should be thoroughly investigated before use for practical heat transfer applications. In this contribution, a brief review on theoretical models is presented precisely. Furthermore, the effects of nanoparticles’ shape and size, temperature, volume concentration, pH, etc. are organized together and reviewed.

Abstract 38: Quantitative proteomic approaches to identify biomarkers for oral cancer & targeting S100A7 by RNA-mediated interference through NF kappa beta-mediated pathway

Abstract Oral cancer is a leading cause of cancer death worldwide. The goal of cancer-screening program is to detect tumours at early stage. Moreover the screening tool must be sufficiently non invasive and inexpensive to allow widespread applicability.Protein biomarker discovery for early detection of head and neck squamous cell carcinoma (HNSCC) is a crucial needs to improve patient outcomes. The proteins secreted from cancer tissues are an important molecules which play a vital role, involved in various biological processes related to cancer metastasis and progression which makes a tissue proteome a rich reservoir of potential biomarkers. Tissue based models are suitable for the studies as the differences in the secreted proteins between cancerous and normal tissues can be easily quantified in a controlled manage system. Mass spectrometry-based proteomics has emerged as an excellent tool for identification of Protein biomarkers in different types of cancer. Proteins secreted from cancerous tissue can be a potential biomarkers. We used isobaric tag for relative and absolute quantitation (iTRAQ) labeling methodology coupled with high resolution mass spectrometry to identify and quantitate secreted proteins from human tissue. In all, we identified 2074 proteins were identified of which 162 and 125 were up and down regulated proteins respectively expressed in HNSCC derived tissue sample as compared to the normal adjacent Tissue. We detected a higher abundance of some previously known markers for HNSCC including, zinc finger protein ZNF142 (11-fold) and peroxiredoxin-1, (PRDX1) (5 fold) etc demonstrating the validity of our approach. We also identified several novel secreted proteins in HNSCC including, S100A7, (7 fold), apolipoprotein D APOD (10-fold) and Thymosin beta-10 TMSB10 (5-fold). IHC-based validation was conducted in HNSCC using tissue microarrays which revealed over expression of S100A7, APOD and TMSB10 in 70% and 65% of the tested cases, respectively. This proteomic analysis will not only serve as a source of candidate biomarkers but will also enhance the current knowledge on the role of the candidate molecules towards disease progression. The selection of S100A7 was done by the earlier research work and it shows that it has a great role in cancer progression. So, by targeting S100A7 inhibits Oral Cancer Growth and Metastasis by RNA mediated Interference and this occurs through NF Kappa Beta mediated Pathway both in vitro and in vivo evaluation. To elucidate the role of S100A7 in Oral cancer, we inhibited the activity of S100A7 in an Oral cancer cell line using a siRNA directed silencing. This resulted in a significant decrease in cell viability, colony formation ability and invasive properties of cancer cells. Further studies are ongoing to explore the therapeutic potential of the candidate genes in HNSCC. Citation Format: Kaushik Kumar Dey, Mahitosh Mandal. Quantitative proteomic approaches to identify biomarkers for oral cancer & targeting S100A7 by RNA-mediated interference through NF kappa beta-mediated pathway. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 38. doi:10.1158/1538-7445.AM2014-38

ANALYSIS OF THE MEDICAL DATA STRUCTURE USING SELFORGANISING MAPS

In this article the authors discuss several approaches to high dimensional data structure analysis using Self- Organising Maps. The describe approaches utilise graphical images for the purpose of data structure interpretation. The evaluation of the discussed techniques has been performed using the real medical data from cardiology. The research, results of which are outlined in this paper, is a continuation of the earlier work related to the analysis of the same medical data. It is envisaged that results obtained in this and earlier research work will form a foundation for creation of a robust technology to be used for automation of diagnostic tasks in medicine.

Don LaRossa, M.D., 1941 to 2014.

Don LaRossa, M.D., 1941 to 2014.

Improved Electric Power Demand Forecasting by adapting the Weighted Average to the MISMO Strategy

Forecasting the annual long-term consumption of electrical energy in a country has remained for the Electrical Engineer quite a difficult problem to solve. As an important planning tool, the forecast of electrical energy consumption has to be as precise as possible. The most commonly employed method is that of scenario building. With the scenario method, consumption forecasting is done through the simulation of a sequence of events. The generated data cannot therefore be as stochastic as it is in reality. With the advent of the computer age, numerous other statistical methods for consumption forecasting have been developed. Prominent among them is the forecasting by machine learning with multiple-Input multiple-Output local learning strategy. The objective here is to obtain a forecast which is as precise as possible, while conserving the stochastic nature between the historical and the forecasted data. This article first presents the different strategies for long-term power consumption forecasting using Multiple-Input Multiple-Output local learning strategies. It then proposes, based on the work of earlier researchers, an approach that uses the weighted averages to improve on the level of precision obtained. Furthermore, it applies this new improved calculation method to forecast the power consumption specifically in Cameroon for horizon 2035, when the country aspires to become an emerging economy. The last part of this article utilizes historical data on the electricity consumption of some countries from the World Bank dataset to do a comparative study between the here newly proposed method and that used previously. The results show that, the new method using MISMO plus weighted average delivers more exact results for long-term electrical power consumption forecasts.

Asia/Europe/Australia dialogue: building knowledge from each other’s experiences

This special issue of the Asia Europe Journal focuses on a triangulated conversation between scholars working in/on Asia, Europe and Australia. The essays showcase the work of early career researchers involved in the EU-Oceania Social Science Interregional Consortium (EUOSSIC) Erasmus Mundus exchange programme that links leading universities in Europe with those in Australia and New Zealand to promote the study of European Union (EU) external relationships. ErasmusMundus was launched in 2004 and is funded by the Education and Culture Directorate General of the European Commission with the objectives of enhancing the quality of European higher education and the promotion of dialogue and understanding between people and cultures through cooperation with third countries. The aim of the EUOSSIC Erasmus Mundus exchange programme (2011–2013) is to build on existing connections to create a formal programme of inter-regional exchanges between the EU and Oceania for doctoral and postAsia Eur J (2014) 12:361–363 DOI 10.1007/s10308-014-0394-6

COOPERATIVE AD-HOC NETWORKS FOR ENERGY EFFICIENT IMPROVE CONNECTIVITY

Mobile ad-hoc network (MANET) has been developed to meet the increase in demand for high-speed wireless network. Wireless adhoc networks are multi-hop frameworks comprising of connections among wireless nodes in the absence of any infrastructure. Thus they normally consist of unpredicted network topologies. In MANETs nodes have the liberty to move freely in various directions. Due to limited battery power, nodes require energy efficient routing protocols to gear up their network performance. Cooperative communication plays an important role in wireless networks. This is evident from the fact that most of the present cooperative communication works are aimed at link-level physical layer issues. As a consequence, the influence of cooperative communication on network-level upper layer issues, such as topology control, routing and network capacity is unnoticed. Cooperative communication is a technology by the help of which multiple nodes transmit similar data at the same time. This increases the transmission coverage and also saves power. Earlier research work on topology control dealt with cooperative communication in the form of energy saving only and did not consider for extending the coverage. It has been noticed that cooperative communication can link disconnected networks. To overcome this problem, we have studied energy efficient topology control with cooperative communication. In this paper, it has been proposed for selection of optimum relay nodes so as to decrease the overall power consumption in the cooperative ad-hoc network.

Nelson, Brian C & Erlandson, Benjamin E (2012) Design for learning in virtual worlds Routledge (New York & London) isbn 978‐0‐415‐88640‐6 215 pp £24.99 http://www.routledge.com/books/details/9780415886406/

SummaryNelson and Erlandson have collated a summary of the work of early designers and researchers into virtual worlds for learning and assessment. While it is confined to those experiences already well known in the literature, it does provide a basic introduction for undergraduates. If it seems that this book could be relevant to you, I advise that you will probably find only parts of it of interest or use.John G Hedberg

Briefing: University choices – parental influence on prospective students

It has been recognised for quite a while that parents/guardians of prospective undergraduates in the civil engineering sector are having a greater say in their children's eventual university and course selection. Introduction of the new fees regime in the academic year 2012/13 will probably exacerbate this situation as higher education is gradually seen by all stakeholders as any other long-term investment with an anticipated outcome. This briefing note investigates possible trends in this area, and discusses possible ramifications for UK university civil engineering departments and the wider industry. Some recommendations are suggested based on the early research work carried out at Brunel University.

Modeling the pullout test of nanoreinforced metallic matrices using molecular dynamics

Molecular dynamics (MD) simulations of pullout tests are developed to determine the effect of the different parameters influencing the interfacial shear strength (ISS) of carbon nanotube-reinforced metallic matrices. Unlike earlier works, the current study focuses on the effect of the cell size, cell geometry, and the potential functions adopted in the MD simulations. The basic MD cell was created in two steps. The metal atoms were initially created using the built-in tools in the molecular dynamics code “LAMMPS” guided by the specific metal lattice parameters with a pre-defined constraint of a central hole to accommodate the CNT at a later stage. The cell was equilibrated with Brownian dynamics prior to the placement of the CNT reinforcement. The CNT was then placed in the central hole. This was then followed by equilibrating the entire system prior to pulling out the CNT, to release spurious stresses arising during the build up of the cell, initially with Brownian dynamics and later with the nvt ensemble. Our ISS predictions agreed very well with earlier research work. Additionally, our results show that box-shaped MD cells are more suitable for the pullout test simulations with nvt or nve ensembles, while npt scheme produces additional forces to the system. The MD cell length was found to have insignificant effect on the pullout force.

Modeling and simulation of a solar flat plate collector as an air heater considering energy efficiency

The present research study includes thermal energy performance analysis of a flat plate solar collector, in order to cover a sensitivity analysis about effective variables contributed to performance increasing approach. To obtain that, energy and momentum governing equations on a flat plate thermal collector were developed to achieve air output temperature and velocity profiles both in model and experiment. The model theory is validated with experiments by a set of flat plate thermal collectors, those located in (35◦ 44′ 35′′ N, 50◦ 57′ 25′′ E) coordinates and then were applied to carry out experimental activities. Quantitative results depicted that the mean difference between predicted and measured output air temperature in natural and forced convection scenarii is 1.47 ◦ C (3.5%) and 0.9 ◦ C (1.5%), respectively; however earlier research works and studies mentioned in literature, include error percentages in the range of 4–10%. Another quantification about, the average error percentages of estimated amounts of output air velocity profile values in natural and forced convection scenarii is 9% and 4%, respectively. This issue realizes the developed model in forced convection scenario more accurate than natural convection scenario.