Convergence of HPC with AI
Distributed machine learning is the future for large scaled applications like computer vision, genome analysis, aero space analysis. There is a need for systems who can scale themselves when the data is of bigdata and when there is a need to simulate and analyze through mathematical models. Data science in future is relying on the usage of high performance computing in artificial intelligence.
Pon Harshavaradhanan will be speaking at International Congress on Web Intelligence 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Ethics of Technology Innovation: Reimagining The Ethical Agency in Professional Higher Education
The rising focus on innovation, especially within a highly dynamic information and communication technology (ICT, technology) eco-system of recent decades, highlights a social responsibility that rests with professional higher education. On the one hand, ICTs have proved empowering in responding to time-sensitive requirements for disaster relief. On the other, technology has struggled to take ownership and responsibility for unanticipated patterns of use leading to hijacked electoral outcomes thereby raising existential threat to established democracies. Prevailing patterns of technology innovation emphasize speed to market while, perhaps inadvertently, product development techniques undermine due diligence about sustaining a proactive thought-process about post-deployment usage scenarios and outcomes. For professional higher education programs preparing graduates to serve as agents of change, the agency for instilling proactive ethical considerations early in the innovation cycle begins in the classroom where often the entrepreneurial journeys gather momentum and commence. This keynote attempts to rationalize this scope for improvement on the curricular dimension of professional higher education, and to further explore some ameliorative avenues.
Sujata Telang will be speaking at International Congress on Computer Applications 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
SOFTWARE FAULT PREDICTION USING ERROR PROBABILITIES AND MACHINE LEARNING APPROACHES
Software fault prediction is used to improve the testing efficiency and software quality by earlier identification of software faults associated with software. The identification of faults is usually carried out using the task of classification. The task of classification utilizes the code attributes and other features to predict the fault instances. The detection of software faults is prominently affected by a poor classification decision and hence an improved decision-making model is required to predict the patterns using the attributes collected out from the datasets. In the first phase of research is Bayes Decision classifier associated with the finding of error probabilities and integrals in software fault prediction. The fundamental software error is prediction using feature and classifier data and software error prediction with fault predictable region that includes Chernoff Bound and Bhattacharyya Bound. The Bayesian decision algorithm with error probabilities and integrals of fault predictions learning model is used to predict the software faults. It works on two different bounds namely Chernoff Bound and Bhattacharyya Bound. In the second phase of the researches an Ensemble-SVMGA learning model to predict software faults. It works on two different modules namely Ensemble-SVM and GA model for feature extraction and fault classification. The GA performs the former task and SVM the latter task. The performance of the methods is tested against several other machine learning classifiers over collected software fault datasets. The methods and evaluated against various performance metrics such as detection Rate or recall rate, False Alarm Rate, Balance, Area Under Curve and Accuracy. The outcome of research is GA-Ensemble weighted SVM has higher accuracy and AUC than other methods and provides good balance than other methods. The accuracy, AUC and Balance for other methods are slightly lesser than the ESVM-GA classifier for diagnosing the faults against several datasets.
Singaravel Gnanasambandam will be speaking at International Congress on Software Engineering 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Studies on of Chemically Deposited EuX Thin Films
Any solid or liquid system possesses at most two dimensional order of periodicity is called ‘thin film’. The field of material science and engineering community’s ability to conceive the novel materials with extraordinary combination of chemical, physical and mechanical, properties have changed the modern society. There is an increasing technological progress. Modern technology requires thin films for various important applications. The advancements in micro-technology and the evolution of new nonmaterial and devices have been playing a key role in the development of very accurate and reliable devices. Thin film technology is the basic of astounding development in solid state electronics. The usefulness of the optical properties of metal films, and scientific curiosity about the behavior of two-dimensional solids has been responsible for the immense interest in the study science and technology of the thin films. Thin film studies have directly or indirectly advanced many new areas of research in solid state physics and chemistry which are based on phenomena uniquely characteristic of the thickness, geometry, and structure of the film. The group of europium chalcogenides EuX (EuO, EuS, EuSe and EuTe) belongs to the most intensively investigated materials europium chalcogenides for depositions and characterizations. Broad object of presentation to focus on the characteristics of europium chalcogenide thin films, deposited by spray pyrolysis technique.
Betkar M M will be speaking at International Congress on Computer Applications 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Global Software Development
Rapid globalization has an impact on modern world technology and has also brought significant transformation into software development businesses. Software development can take place independently regardless of time and space. No matter where in the world you are located, if you have the technical skills and expertise you are able to transform. Current tools and technologies allow everybody to participate in the digital global era. Often these sentences are taken for granted, when we talk about Global Software Development. I will in this keynote discuss and reflect upon the core challenges related to coordination when software development takes place in a globalized world. It would also present examples from a number of globally distributed projects where it addresses the challenges related to coordination in Global Software Development.
Anusuyah Subbarao will be speaking at International Congress on Ad-Hoc Networks 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Pandemic and People Dynamics in Social Media – What Machine Learning can Tell us?
The world is facing the worst pandemic in a century because of Covid-19. Spanish flu during 1920 was the last such deadly influenza pandemic after which the current world has seen tremendous technological advancements. Internet and social media is one such advancement that connects billions of people. It has become very easy to express people’s thoughts through tweets and posts that reach a lot of people in a short period.
Recent statistics show that there is up to a 45% increase in the usage of social media. People not just share news about Covid-19 topics but also express their sentiments on it. For example, people show fear, anger, racism, etc., With the advancements of IoT, each tweet or post is associated with time and location information. Thus more insights can be gained by understanding the topics with spatio-temporal dynamics.
Machine learning, especially text mining techniques like topic modeling and sentiment analysis would help to understand what people talk about Covid-19 and how the sentiments shift during this pandemic. This can bring enormous insights for government organizations based on which any necessary actions can be made.
This talk will focus on the applications of different machine learning techniques to understand people dynamics in social media during the Covid-19 pandemic.
Thirunavukarasu Balasubramaniam will be speaking at International Congress on International Congress on Social Computing and Networking 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Artificial Intelligence and its Industry Applications (AI & IA)
Artificial Intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence. AI has become more popular today because of increased data volumes, advanced algorithms, and improvements in computing power and storage. AI examples: chess-playing computers, self-driving cars, Visual perception, Speech recognition, Decision-making, and Translation between languages, dangerous workspaces, nature disorders. AI uses deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. AI -Learning from past experience, reasoning for the decision making, inference power and quick response. It must be able to take decisions on the basis of priorities and tackle complexity and ambiguity.AI applications can provide personalized medicine and X-ray readings. Artificial Intelligence enhances the speed, precision and effectiveness of human efforts. In financial institutions, AI techniques can be used to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, As well as automate manually intense data management tasks. AI can be used in electronics and electrochemical systems, diagnose the software development process, identify chemical compound structures and chemical compounds. Trouble shooting systems, plan and explore the space, forecast crop damage, develop completely automated plants and industries, AI analyses more and deeper data. Using neural networks that have many hidden layers. Lots of data needed to train deep learning models because they learn directly from the data. AI achieves incredible accuracy through deep neural networks Google Search and Google Photos, medical field are all based on deep learning and they keep getting more accurate the more we use them. AI gets the most out of data. When algorithms are self-learning, the data itself can become intellectual property.
Geetha B G will be speaking at International Congress on Internet Security 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Data Analytics and Business Intelligence
Organizations in the digital economy today that cannot embed value creation at the core of their business plan will just simply perish within a very short period of time. The main key for survivability lies in the speed of how quickly we can identify value potential that exists in the business and transform that into value potential which will provide value to customers. In this regard, the keynote will highlight several real world scenario on transformational technologies is creating enormous value proposition for companies in the digital age.
Saravanan will be speaking at International Congress on Ad-Hoc Networks 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
e-Governance: Empowering CitizensThe last few years have globally witnessed a massive adoption and implementation in information technology and IT enabled services. The confluence of electronics and telecommunications has opened new vistas of transmission, storage and retrieval of information as never before. These developments have contributed significantly in decision-making, in not only businesses, but it is equally important even in public administration. The increasing population and its massive burden on civic amenities and the socio-economic infrastructure is unimaginable. With this transformation, e-Governance initiatives, India have traditionally being confronted with the dual challenges of automating government departments and taking online services to the common citizens. If we look at the beginning of e-governance, the launch of National Satellite-Based Computer Network (NICENET) in 1987 and subsequent launch of District Information System of the National Informatics Centre (DISNIC) programme to computerize all district offices in the country for which free hardware and software were offered to the State Governments provided the requisite impetus for e-governance. E-governance thereafter developed with the growth of technology. Today, there are a large number of e-Governance initiatives, both at the Union and State levels. The latest developments in technology, Information Technology in particular, including Data Analytics, Artificial Intelligence & Machine Learning, Business Intelligence are helping in creating a reliable eco-system for efficient, intelligent, timely and relevant decision making in a transparent manner. In factElectronic governance or e-governance is exploiting the application of IT for delivering government services, exchange of information, communication transactions, integration of various stand-alone systems between government to citizen (G2C), government-to-business (G2B), government-to-government (G2G), government-to-employees (G2E) as well as back-office processes and interactions within the entire government framework. Through e-governance, government services are made available to citizens in a convenient, efficient, and transparent manner. The three main target groups that can be distinguished in governance concepts are government, citizens, and businesses/interest groups. In e-governance, there are no distinct boundaries, finance and support. The relevance of BI Analytics has brought forth a paradigm shift in assimilating and visualizing huge chunks of data in near real-time manner. The pivot of all good decision-making systems is correct, up-to-date and compliant data. Governments are not only looking at the transformation of their own processes and systems to take the benefits to masses in an efficient and transparent manner but also expect improved relations and healthy trade across the world. Development should be transformative and continuously evolving. In true sense it will not be exaggeration to say Data Analytics has the ability to change the color and complexion of the world.However there are number of challenges and areas of concern which need to be dealt consciously and appropriately understood like E-governance should induce up-to-date information, initiate effective interaction, and engage with transparent transactions in compliance with rule of law, thus enabling a sustainable transformation model. According to a recent report by McKinsey, an average Indian mobile data user currently consumes more than 8 GB of data per month, which exceeds the average in more digitally advanced countries such as China and South Korea. It is expected that India will witness an increase in the number of internet users to 800 million by 2023 driven by the increasing availability and decreasing cost of high-speed connectivity and smartphones. The Government’s Digital India initiative is bringing broadband internet access to 250,000-gram panchayats, or self-governing village councils, to make it easier for millions to connect online. With a strong foundation of digital infrastructure and expanded digital access through Digital India Programme of the Government, India is now poised for the next phase of growth creation of tremendous economic value and empowerment for citizens as new digital applications permeate sector after sector. India can create up to $1 trillion of economic value from the digital economy in 2025, up from around $200 billion currently. Improving the trust between governments and citizens is fundamental to good governance and Information and Communications Technology (ICT) is progressively becoming an essential tool for promoting accountability, convenience and transparent governance. Governments around the nation are pushing hard to deploy information and technology in their operations. From utilizing ICT for elections, census, computerizing all the government offices, to digital lockers e-Transportation, e-Health, e-Education and e-Taxation, the new India has paved its way in the realm of e-Governance. Driven through technology, e-Governance is transforming citizen services by providing access to information, integrating various systems and services between government and citizens, thereby empowering and enhancing citizen’s social, environmental and economic values. The government has been spearheading radical digitalization to induce economic inclusiveness and social transformation, through initiatives like ‘Digital India’, ‘Make in India’ and ‘Skill India’. India as a result, is gearing up for an era of increased digitalization, heralding the advent of Industry 4.0, powered by new age technologies like the Internet of Things (IoT), Artificial Intelligence (AI) and Robotics. These developments are posing different kind of challenge in terms of framing right kind of policies, intelligent infrastructure, extending the access of digital resources to common people ensuring Availability, Affordability, Accessibility and above all spreading awareness about these facilities, services and their advantages of using.Further, the successful implementation of e-governance has different inherited challenges to build the confidence, trust and acceptability among masses world over. These challenges are arising from administrative, legal, institutional, civic and technological factors. The challenge includes security drawbacks such as spoofing, tampering, repudiation, disclosure, elevation of privilege, denial of service and other cyber crimes. Other sets of problems include implementation parts such as funding, management of change, privacy, authentication, delivery of services, standardization, technology issues and use of local languages.In this discussion attempt is being made to explore and understand the challenges, probable solutions and how we can deal with it.
Sunil Kumar Pandey will be speaking at International Congress on e-Governance 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
e-Governance: A Pivotal Factor Towards Economic Sustainability
In the present era of globalization, the relevance of e-Governance has been extended towards future-oriented economic perspective. Now a day, E-Governance, with its citizen centric approach, contributing effectively towards economic sustainability all over the Globe. With the passage of time, introduction of latest and updated information and communication technologies also making a significant contribution to the achievement of good governance goals and objectives. It’s a proved fact that ‘e-governance’ can make governance more efficient and more effective, and may bring other benefits to that leads to the betterment of our entire day to day working system. E Governance also implies e-democracy, wherein all forms of interaction between the general public and government are performed electronically with the usage of many updated and innovative technologies. E-Governance clearly reflects vast potential of the government so as to serve its citizens that further strengthens economic stability at all.
Bikram Pal Singh will be speaking at International Congress on e-Governance 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
The Golden Age of Computer Architecture, and the Role of GPGPU Architecture in Deep Learning
- Why is this decade considered ‘yet another’ golden era in computer architecture?
- How GPGPU has shaped the deep-learning landscape and its implications.
- What does the future possibly hold and what are some interesting challenges involved – with some light / relation on graphics as well.
Pradeep Ramani will be speaking at International Congress on Games & Graphics 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Focus on Drugs & Pharmaceutical in Bioinformatics Perspectives
Research and developmental studies on drug and pharmaceutical discovery are multifaceted & rewarding in general and entails technological expertise of bioinformatics. This practice poses a positive effect and fulfills the basic requirements of the design of Drugs & Pharmaceuticals. In this concern, the present keynote focusses on the importance of bioinformatics in drug discovery and development processes. In detail, it deals with the variation of medicinal properties of some important drugs and pharmaceuticals which are differed from one another by minor structural changes. This has been relied by understanding the significant protein-ligand interactions responsible for the stated activities of the selective drugs and pharmaceuticals as evidenced from bioinformatics studies.
Balam Satheesh Krishna will be speaking at International Congress on Biotechnology & Bioinformatics 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Entrepreneurship is flagship in Pioneering Rural India
India is one of the leading economies among the developing countries. There has been good economic progress in the fields of information technology, infrastructure, and services. The primary sector (Agriculture, Forestry and Fisheries) which accounts for over 68% of the population (830 million out of 1210 Million, as per the 2011 Census) has however been lagging behind with average annual growth. This is generating a lot of disparity between rural and urban livelihoods. Diminishing returns from Agriculture have put the whole rural economy under severe stress. There is a need to accelerate the diversification of rural livelihoods so that rural communities have adequate means and opportunities which are viable and sustainable.
Jagadeesha M will be speaking at International Congress on Entrepreneurship 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
e-Governance is the application of Information Technology to the processes of government functioning to bring SMART. i.e. Smart, Moral, Accountable, Responsive and Transparent Governance. It is the use of technology to perform government activities and achieve the objectives of governance. Government has started the implementation of electronic governance for each and every department to provide government documents to the citizens very much easily and on the fly.Examples of e-governance include the Digital India initiative, National Portal of India, Prime Minister of India portal, Aadhar, filing and payment of taxes online, digital land management systems, Common Entrance Test like JEE,NEET, etc.
Kothari D P will be speaking at International Congress on e-Governance 2021 which is scheduled to happen on 13th and 14th August at Hong Kong, HKSAR
Role of Artificial Intelligence Post COVID 19 Era: Opportunities and Challenges
Today’s Machine Learning (ML) (a subset of Artificial Intelligence) in a blend with Internet of Things (IoTs) based cloud applications which play a significant role in our everyday life. As indicated by Gartner’s recent study, there are around 25 billion devices and a gadget interfacing with IoT including wearable’s and automated vehicles to smart homes and smart cities applications. All such connected (smart) devices generate immense data that needs to be examined and analyzed, to ensure that they continually learn from the available data sets and better themselves without any manual interference. This is where the prerequisite for machine learning comes into being. The numerous ML algorithms and techniques that are introduced in a short time to easily evaluate big data measurements, increasing the IoT’s productivity. Similarly, special ML techniques, such as decision trees, clustering, neural and Bayesian networks, allow devices and gadgets to discern trends from various sources in different kinds of data sets and take appropriate decisions based on their analysis.
It would really be difficult for smart devices to make smart decisions gradually without including and enforcing ML. The IoT helps to interconnect various hardware devices, such as houses, cars, electronic gadgets and other devices that are integrated with actuators, sensors and software, so that data can be collected and shared. As various organizations understand the progressive capability of the IoT, they have begun finding various obstructions they have to deliver to use it productively. Numerous organizations and businesses use ML to exploit the IoT’s latent capacity. We will discuss different methods of machine learning (or Artificial Intelligence) that deal with the challenges posed in the handling of IoT data. Note that this big data is generated through the communication of Internet of things/ smart devices, and this data stored at cloud.
Amit Kumar Tyagi will be speaking at International Congress on Grid, Distributed & Parallel Computing 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Social Change Through Profit – How Social Entrepreneurship Transform
The concept of entrepreneurship has a long history in the business sector. A major theme has been the creation of value through innovation. As applied more recently to social concerns, the concept has taken on a variety of meanings. Some, for example, have focused on social entrepreneurship as combining commercial enterprises with social impacts. In this perspective, entrepreneurs have used business skills and knowledge to create enterprises that accomplish social purposes in addition to being commercially viable. Not-for-profit organizations may create commercial subsidiaries and use them to generate employment or revenue that serves their social purposes, or for-profit organizations may donate some of their profits or organize their activities to serve social goals. These initiatives use resources generated from successful commercial activities to advance and sustain their social activities. Others have emphasized social entrepreneurship as innovating for social impact. In this perspective, attention is focused on innovations and social arrangements that have consequences for social problems, often with relatively little attention to economic viability by ordinary business criteria. Social entrepreneurs are focused on social problems, and they create innovative initiatives, build new social arrangements, and mobilize resources in response to those problems rather than the dictates of the market or commercial criteria.
Noor Raihani Zainol will be speaking at International Congress on Entrepreneurship 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
LOCATION BASED SERVICES
Location is essential to the people to relate themselves and to organize their worldly affairs. These days, mobile phones are affordable to every person. The smart phones in the area of mobile communication devices have become technologically very advance and provide multiple features such as Voice Conversation, Facebook, WhatsApp, Viber, internet facility, Global Positioning System (GPS) etc. For example, if a child is out of home and in trouble, one can search his child and go to that place immediately using the application running on the child mobile phone. Thus the location detection of a child is valuable to the parent at that particular time. Also, to get the travel path for reaching some new place is very valuable to the user. Retrieving information about restaurants and cafes along the path is also important. Moreover, knowing the geographical location of a person at any time adds a new powerful dimension to information services.The steady rise of mobile computing devices and local-area wireless networks has fostered a growing interest in location-aware systems and services. Consequently, the location-based services has now become one of the most exiting features of the next generation wireless systems.The talk discusses about the design of location based services along with the development of android applications.The talk also covers the Background services available in mobile phones along with their technicality. Further, discussion will go through applications of various location based services in real time environment.
Shaveta Bhatia will be speaking at International Congress on e-Governance 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
DESIGN AND ANALYSIS OF GRAPHICAL PASSWORDMost common computer authentication method is traditional ‘User Name’ and ‘password’. There are numerous Biometric authentication methods also proposed. In this research, I propose a novel and new alternative; Figure as a Password. In this scheme users will get complete freedom to select their Passwords. In this research, I conduct an extensive survey of the existing graphical password schemes and propose an alternate scheme. Entire work can be divided into three phases- a. sampling of users passwords, processing and storage; b. security on transmission; and c. Recognition and authentication. Our scheme supports the application environment and we strongly believe that “User Authentication by Secured Graphical Password Implementation” could be a solid platform for future research and study.
Debnath Bhattacharyya will be speaking at International Congress on Security Protocols 2021, which is scheduled to happen on 13th and 14th August at Hong Kong, HKSAR.
Role of Soft Computing Approaches in the Healthcare Domain
In the present era, soft computing approaches play a vital role in solving the different kinds of problems and provide promising solutions. Due to the popularity of soft computing approaches, these approaches have also been applied in healthcare data for effectively diagnosing the diseases and obtaining better results in comparison to traditional approaches. Soft computing approaches have the ability to adapt itself according to the problem domain. Another aspect is a good balance between exploration and exploitation processes. These aspects make soft computing approaches more powerful, reliable and efficient. The above-mentioned characteristics make the soft computing approaches more suitable and competent for health care data.
Shalini Gambhir will be speaking at International Congress on Ad-Hoc Networks 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
A NEW APPROACH TO TRAFFIC SIGN RECOGNITION THROUGH PRIMARY VISUALS CHARACTERISTICS
As far as the safety of a driver is concerned, more focus should be put on correct interpretation and information which is conveyed by a traffic sign, while driving a vehicle along the road. A signboard can be thought of as an emblem which disseminates important and meaningful information regarding the potential hazards prevailing among road users comprising roadways cladded with snowfall, construction worksites or repairing of roads taking place and telling the people to follow an alternative route. It alerts the person who is passing through the road about the maximum possible extremity that his vehicle is trying to achieve indicating slowing down the speed of the vehicle since chances of having collision cannot be ruled out. With the constant increasing of the training database size, not only the recognition accuracy, but also the computation complexity should be considered in designing a feasible recognition approach. The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as the conversion of original into grayscale images, filtering the images with the help of Averaging Filter, Wiener Filter, carrying out the operation of Unsharp Mask Filtering which consists of performing the conventional method of Unsharp Mask Filtering as well as controlling the amount of sharpness with the help of certain parameters. In the future, we will concentrate on detecting, recognizing as well as classifying a particular signboard
Abhinav Deshpande will be speaking at International Congress on Algorithm and Computation 2021 which is scheduled to happen on 13th and 14th August at Hong Kong, HKSAR
Autonomous Navigation of Unmanned Aerial Vehicle by SLAM
In recent years, unmanned aerial vehicles(UAVs) have become more popular due to the rapid increase in affordability and their ability in aerial photography and decrease the costs needed for inspections on complex infrastructures. It is an emerging technology in Industrial Revolution 4.0 that have potential as disruptive innovation in a large number of industrial and civil applications. UAV’s popularity in industries has been increasing rapidly because of it’s ability to reach high-risk position which is difficult to access and hazardous for human. A huge potential market for this application is constituted by high-risk industrial infrastructure including oil and gas(O&G) industry, chemical plant, power station and shipbuilding. It is a crucial task to achieve accurate and precise navigation for UAV, in an outdoor environments with a lots of disturbance and obstacles. In this study, an autonomous navigation algorithms for a multi-rotor hexacopter UAV will be presented based on visual fiducial system and 3 dimensional Simultaneous Localization and Mapping (SLAM) in outdoor environments. The navigation algorithm of the autonomous UAV is divided into two stages. First, a 3D SLAM package is used create a 3D map of the environment based on the point cloud data captured using a commercial 360o laser scanning sensor attached to the UAV. The created map is called for localization of the UAV real-time control and used as the feedback of the proportional integral derivative(PID) control system of navigation. A path from origin to target is set as reference and the UAV follows the trajectory while the PID control system converges the state-state error. Next, after the UAV reached its desired position, an Intel® RealSenseTM depth camera will detect an April Tag attached to the target. In this second stage, the autonomous navigation will be based on orientation and distance between the camera and detected tag. The control system converges the state-state error based on the actual data from visual fiducial system. Finally, after the UAV reached its final target, a return home path planning based on the SLAM navigation is carried out.
Rizauddin Ramli will be speaking at International Congress on Control Systems 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Recombinant Silk as Ingenious Biomaterials for Biomedical Industries
Natural silk plays a significant role in the economy of the textile industries in several countries. Silk produced by the various type of silkworms and spiders are one remarkable natural materials applied in the several biomedical desires. After innovation of recombinant technology, it is appeared as robust and polyvalent platform for the production of recombinant and smart novel biomaterials. By using transgenic and recombinant technology silk based biomaterials used in suture, wound dressings, scaffold, fiber-hydrogel composite drug delivery, knitted hernia mesh, organ development, silk-based anti-aging materials, self-assembled nanoparticles, reinforced biomaterials etc. By utilizing silk proteins various organs such as silk cornea, silk-based eardrum, silk hydrogel, cardiac tissue development, cartilage and bone tissues engineering along with anti-cancer therapeutics have been already developed. Recently, through silk proteins, silk gelatin bio-ink, 3d bio-printing, 2d, and 3d composite have been also discovered, therefore, we are considering and implementing silk as ingenious biomaterials for biomedical and biotechnology industries.
Dhiraj Kumar will be speaking at International Congress on Biotechnology & Bioinformatics 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Microcystin Effects on Juvenile Yellow Perch Stress Physiology, Growth, and Survival
Cyanobacteria blooms are threatening services provided by lakes, including fisheries production through exposure to cyanotoxins (e.g., microcystin, MC). Unfortunately, how MC affects fish physiology, growth, and survival remains limited for nearly all Great Lakes species. Towards this end, we conducted a laboratory experiment with juvenile yellow perch (Perca flavescens), an important species in the Great Lakes basin, exposing individuals to 1 of 3 MC concentrations (0, 10, and 20 μg/L, using cultured M. aeruginosa). We exposed fish to their treatments for 14 d (harvesting some individuals every 7 d), after which all remaining individuals were exposed to control (0 μg/L) cyanobacterial conditions in their treatment tanks (n=5 tanks/treatment). We also analyzed the effect of MC on gut microbiome of juvenile (age-0) yellow perch using the 16S sequencing approach to characterize the microbial community. In addition to this, we have applied 1 H nuclear magnetic resonance (NMR) based metabolomics analysis to study effect of MC on liver metabolism. We found a dose-dependent response to MC exposure, with MCs accumulating the liver. We also found expected dose-dependent physiological responses, including reduced glutathione peroxidase and glutathione in the livers of fish exposed to MC. In addition to reporting uptake and depuration rates, other physiological responses (e.g., liver metabolism), and performance (e.g., growth, survival) metrics, we discuss the potential implications of cyanotoxin exposure to yellow perch population dynamics.
Manjunath Manubolu will be speaking at International Congress on Biotechnology & Bioinformatics 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
E- Governance-A Review
Mid unpredictable business environments, the Government of India’s Mission e-Governance,coupled with Digital India, has undergone a paradigm shift; there is new thinking on how it engages with its citizens, inter-state & inter-governmental functions. India has put its delivery of healthcare, e-Education, agricultural support, financial services and other economic and social obligations on mission-mode.
Hitachi plays a vital role in the growth of India’s digitally enabled e-Governance mission. A global leader in Social Innovation Business solution, Hitachi’s initiatives are constantly creating three value propositions by improving citizen’s social, environmental and economic values. For Hitachi, they converge into ‘Powering Good’, a society that effectively bridges the need gap between itself and the government.
Accordingly, main aim of the paper is to determining factors of e-Governance as identified in research studies published earlier. Based on the investigation of extant literature available on the subject, it has been established that technological, financial, human resource and Information privacy and security related factors are the major determinants of e-Governance. There are various challenges for the implementation of e-government in India. These challenges are like low literacy, lack of awareness, low broadband penetration, lack of system integration within a department, and all other reasons. Then the environment needs to be developed for the effective implementation of e-government in India. But in spite of all challenges India has number of award winning e-governance projects. Therefore we can say that e-Governance is the key to the “Good Governance” for all the countries across the world to minimize corruption, provides efficient and effective or quality services to their citizens.
Tanuj Sharma will be speaking at International Congress on e Governance 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
IoT and Big Data Technologies for Context-driven Applications
Recent advances in pervasive technologies, such as wireless ad hoc networks and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as Internet of Things (IoT). IoT is seen as an enabler to the development of intelligent and context-aware services and applications. These services could dynamically react to the environment changes and users’ preferences. The main aim is to make users’ life more comfortable according to their locations, current requirements, and on-going activities. However, handling dynamic and frequent context changes is a difficult task without a real-time event/data acquisition and processing platform. Big data, WSN, and IoT technologies have been recently proposed for timely gathering and analysing information (i.e., data, events) streams. In this talk, we shed more light on the potential of these technologies for continuous and real-time data monitoring and processing in different real-case applications (e.g, Healthcare, energy efficient building, smart grid).
Mohamed Bakhouya will be speaking at International Congress on Big Data & Analytics 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Image Dehazing via Optimized Transmission Map
Severe weather conditions make atmospheric phenomena like haze or fog scatter light and degrade the visual quality of natural images, making them hazy. Hazy images suffer from poor information quality, fainted surfaces, and color shift and may not be suitable for various applications. Haze removal or defogging defined as a technique to reduce or remove interference due to haze. This makes dehazed image highly desired in computer vision and imaging applications. The existing dehazing algorithm majorly lacks accurate estimation scene transmittance, making the dehaze image not suitable in many imaging applications. This talk is aimed at exploring efficient scene transmission algorithm for accurate dehazing results. The method explores convolution neural networks with geometrized pixel difference to optimize transmission map. The algorithm has been tested using natural and synthetic images and results compared with those existing state of the art methods.
Fayadh Alenezi will be speaking at International Congress on Digital Image Processing 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Discovery of Hidden Pattern of Indian e–Governance Application using web Mining Algorithm & Block chain Technology
The ministries of the Government of India have come up with various useful schemes from time to time. These schemes launched by central and state Governments of India for improvement of insufficiency, general benefit and rural development. Maximum person take benefit of government schemes but some cases arises in which every some does not take benefit of government facility. For example, medical field: Good health is the greatest wealth of life but behind the subject of major health on speeding and running full life of modern lifestyle. The biggest reasons of many sicknesses are wrong habits of living and lifestyle. Government of India has various efforts to improve health through different schemes. Central level district level and block level on government health services free of charge provided but only some persons take benefits of these services these services because in general some problems arises in hospital.
Rajeev Kumar will be speaking at International Congress on e Governance 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
STRATEGIC ENVIRONMENTAL ASSESSMENT (SEA) PROCESS FOR SUSTAINABLE ENVIRONMENTAL CLIMATE CHANGE CONTROL, ECOLOGY AND CONSERVATION TOWARDS SUSTAINABLE DEVELOPMENT
Strategic environmental assessment (SEA) process can be broadly defined as a study and check of the potential impacts (effects) of a proposed project, program, plan, policy, or legislative action on the environment and sustainability. The significance of the research work is mainly the confirmatory SEA process for achieving sustainable environmental climate change control, ecology and Conservation that aims to incorporate environment and sustainability considerations into planning and decision-making processes, and to formulate sustainable projects, policies, plans, programs, and legislative actions. “Environmental impact assessment” (EIA) can be defined as the systematic identification and evaluation of the potential impacts (effects) of the proposed projects, plans, policies, programs, or legislative actions relative to the physical-chemical, biological, biochemical, toxicological, bio-physical, radioactive, cultural, socio-economic, and anthropological components of the total environment. The primary purpose of the EIA process is to encourage the considerations of the environment in the project planning and decision-making process and to arrive at actions that are more sustainable environment compatible. The three most of significant terms are ” Sustainable environmental inventory “,”Sustainable environmental impact assessment,” and ” Sustainable environmental statement ”. The most significant legislation is the Sustainable Environmental Impact Assessment Act that is the SEIA process Act is hereby proposed while considering environmental sustainability as well as quality guidelines, regulations and procedures in order to ensure that balanced decision-making regarding the environment and sustainability occurs in the public interest. Environmental pollution control and public health protection process should include the integrated considerations of technical or scientific / engineering, economic, environmental, social, and other factors. The most important of these considerations can be referred to as ” the three Es” (Engineering or technical, economics, and environment) in climate change control, ecology and conservation planning and decision-making process. The past five decades have been characterized by the passage of legislation dealing with the environment including legislations of control of water, air, and land pollution, solid and hazardous waste management, resource conservation and recovery protection (RCR) and soil and groundwater remediation. It is concluded that Industry 4.0 impacts (effects include source-specific, industrial specific, and generic generation or decay period ) protocol for SEA process for the sustainable environmental climate change control, ecology and conservation is helpful for sustainable development. The SEA treaty protocol pertains to federal and official Government procedures are helpful for making much earlier decisions than EIA process. Therefore, it is a key tool for sustainable development.
Vijayan Gurumurthy Iyer will be speaking at International Congress on Climatic Change, Ecology and Conservation 2021, which is scheduled to happen on 13th and 14th August at Hong Kong, HKSAR
DevOps and AI Based Health Care Analytics for COVID-19
In the era of Machine learning, DevOps has outrageous development in the healthcare and medical field. Utilizing AI/ML procedures in medical clinics, giving optimal solutions gets significant. DevOps assists with serving their clients better and compete all the more firmly in the market by methods for accelerate delivery. This aims to discover new challenges and defeat those troubles with novel models/techniques by utilizing AI and DevOps. In any case, around the world corona illness expands each day, forecast and avoidance become mandatory. Dependent on AI and DevOps based techniques like image classification/ segmentation, eliminate obstructions, disease prediction, and medical care examination methods become unavoidable. This calls for bringing novel ideas in artificial intelligence, DevOps, neural networks, machine learning, and healthcare analytics based on COVID-19 which will give esteems to specialists and researchers with cutting edge AI techniques.
Iyapparaja M will be speaking at International Congress on Internet Security 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
Radionuclides Therapy and Radiobiology Concepts
Radionuclides therapy (RNT) uses radionuclides as agents mostly for cancer therapy. When compared with other systemic cancer treatments, RNT has shown efficacy with minimal toxicity. Moreover, radiobiology needs to be further to be explored, and It can lead to updating for systemic radionuclide therapy strategy. Radionuclides and radiobiology concepts are the importance of basic concepts of ionizing radiation. Traditional radiation biology concepts stated that any immature, undifferentiated, and actively dividing cells are radiosensitive. The paradigm shift in understanding radiation’s effect on biological systems from DNA-centric dogma to radiation effects involving multiple cellular targets. The evolution of radiobiological concepts also needs to be understood in radionuclides therapy (RNT) application. Radionuclides are conjugate with various peptide receptors, the monoclonal antibody, or vectors with affinity to specific elements have been a promising therapeutic strategy that makes radiation delivery to tumor sites optimally. This review focus on radiation biology at the molecular level and radionuclides’ therapeutic application concepts.
Aisyah Elliyanti will be speaking at International Congress on Biotechnology & Bioinformatics 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.
EARLY DETECTION OF GlAUCOMA USING BRAIN COMPUTER INTERFACE TECHNOLOGY
Glaucoma causes permanent blindness over the age of 50 years. About 11.2 million of people in India got affected by glaucoma. Glaucoma creates peripheral vision loss at very slow rate which cannot be recovered back. Early detection of glaucoma in the patient is the interest of this study. Standard Automated Perimetry (SAP) is the existing diagnosis by the physician where the patient needs to focus the flickering light stimuli over a period of time. Steady-State Visual Evoked Potential (SSVEP) based glaucoma diagnosis, in which the patient needs to focus on the flickering stimuli, based on applied stimuli. By using Brain Computer Interface (BCI) technology, the brain signal generated can be detected using Electroencephalography. A visual response map is drawn based on the brain signal. By analyzing the visual response map, the early detection of glaucoma BCI is possible with higher accuracy.Vani R will be speaking at International Congress on Digital Image Processing 2021 which is scheduled to happen on 13th and 14th August at Hong Kong, HKSAR
Automatic Metadata Facilitating Efficient Metadata Extraction and Retrieval for Palm Leaf Manuscripts
India is home to a vast treasure of knowledge, inscribed, stored and passed on from one generation to the next through a unique medium – palm leaves. It has revered the world over for its knowledge and progress in various fields including Mathematics, Science, Spirituality and Medicine since ancient times. In the present scenario, there is an urgent need to preserve our rich heritage and provide an easy interface, using modern technology and techniques, thereby enhancing accessibility, applicability and appreciation for the repository of knowledge. There is a need to preserve the palm-leaf manuscripts (PLMs) in their original form, as well as to take up their processing especially through digitization. A well-built catalogue is a primary requirement to facilitate effective and efficient information retrieval. The main aim of this research is to provide users with a standard means for intellectual access to the digitized materials. Many conservation centers across the country are some such areas where huge collections of manuscripts are stored and preserved. The key objective of this research is to propose an enhanced schema for automatic metadata extraction to ease the metadata creation process which facilitates efficient search and retrieval mechanism for manuscripts. This research mainly focusses on reducing the data deficiency occurred in the catalogues due to manual metadata entry procedures. Hence, there is a strong need for an automatic metadata extraction schema that can categorize the digital PLM images according to their metadata schema. The key benefits in this research are the scalability and usability of this schema in various digital collections. The metadata for these PLM images are customized to enhance more accuracy while retrieving, which produce effective search results for many digital collections of PLMs. Hence the outcome of this research can be useful in two ways firstly to prioritize the least/high damaged manuscript to perform restoration and secondly to obtain accurate search results from two methods proposed using TF-IDF and crowdsourcing approach. These can be widely utilized in various digital libraries across the globe. This metadata schema can be incorporated into an enhanced search engine for obtaining better precision and recall results.
Nagendra Panini Challa will be speaking at International Congress on Grid, Distributed & Parallel Computing 2021 which is scheduled to happen on 13th and 14th August 2021 at Hong Kong, HKSAR.