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Prof.Wael Yafooz

Dean, Faculty computer and information technology, Al Madianh International University, Malaysia


Speech Title: Important of Data Management in 4 Industrial Revolution (4 IR)

Speech Abstract:  The concept of data management is the practice of storing, validating and processing required data to accessibility and reliability of data for its users. The data sources come across web and social services, IoT, sensing, transactions of any online organizations, machines, so on. These huge amounts of data can be found in the servers into structured, unstructured and semi-structured. Moreover, these data are stored few categories such, graph based, documents based, key value based and column based. The purpose of data management is not a goal in itself, rather than the key to innovation and knowledge discovery and to integration and reuse after the data publication process. Many organizations and governmental agencies are beginning to require data management and plans for various experiments. Beyond the collection of data and archival, it includes to ‘long-term care’ that is valuable digital assets .

Organizations gather unstructured data such internal sources (e.g., sensor data) and external sources (e.g., social media). Therefore, from the emergence of data management technologies and analytics enabled the organizations to process data in their business and innovative processes. One of the techniques is facial recognition technology that empowers to acquire intelligence about store traffic, composition of customers, and store movement patterns. These information’s are invaluable of leveraged to decisions product promotions, staffs and for placement [2]. In fact, the traditional data management systems assuming by a user query, that they have enough knowledge of the schema, contents and meaning, and certain the query they wanted to pose, thereafter, the system tries to produce complete and correct results. To handle the sensor data in structural monitoring applications, traditional relational database management systems (RDBMS) employs, however little efforts devoted of data management for fundamental issues. For storing, managing and retrieving large scale of data, Apache H-Base, Apache Cassandra, and MongoDB noted as NoSQL (Not only SQL) database tools have designed to handle unstructured data. NoSQL database systems are significant rather than RDBMS for flexibility and scalability. For sensor network data to handling and managing, Apache Cassandra shown a better performance of scalability from massive IoT data which is NoSQL system . Apache Cassandra supports large scale of data management and processing as well. In this talk, will talk about the important of data management  and the technquies that help in data mining and discover the insight from huge amount of data.

 

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Prof.Hui Li(李晖教授/副院长) IEEE Senior Member
Vice-Dean, School of Information Science and Technology, Hainan University, China.


Speech Title: Key techniques and application in Intelligent Mobile Deviceof 5G and its beyonds in sea-adaptive communications and networking
Speech Abstract: In the report, some traditional ways for marine communication is narrated briefly such as VHF and WiMAX for line-of-sight communication, and shortwave reflection communication, scattering communication, satellite and microwave relaying for beyond-line-of-sight communications. Then some communications techniques in 5G and beyond are analyzed. 

What kind of communication can be called sea-adaptive? That is a good question and some potential answers may be put forward by us in this conference hall today. There are so many interesting topics in the field of maritime communication and underwater acoustic communication, searching and detection, e.g. a new method to provide additional degree of freedom to enhance the capacity. 

We have to admit these topics are much more complex and also much more difficulty for each one of us, even for excellent scholars and researchers around the world. Fortunately, they are not much ahead from us, and in certain areas we are running on the same line with them. Finally, let’s wish the meeting success and may more and more achievements are taken by us all!

 

 

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Prof.Sanjeev Wagh. IEEE Senior Member

Professor & Head of Information Technology Government College of Engineering, Karad India.


Speech Title: Reviews of Nature inspired metaphors for heuristic solutions.
Speech Abstract: Most of the conventional approaches to solve generic problems are often challenging due to their sheer size and to find heuristic solution. Some of the problems may take longer time to compute the solution then the age of universe existence. Nature inspired computing have proved to solve many complex problems by imitating specific phenomenon from nature and within impressive time limit.

Recently the nature based algorithms like artificial bee colony, the firefly, social spider, bacterial foraging, cuckoo search, leaping frog, the Bat, flower pollination, Strawberry, the Seed Based Plant Propagation, artificial plant optimization and many more inspiring to give committed solutions.  It is exciting to know existing and recently investigated nature inspired methods for engineering domain problems. However, there is an inherent capacity in these methods across different problem domains to give prominent solutions.  This review would focus on scope for future studies for selecting suitable method for targeted problem. Also concentrate attentions to unattained applications using nature inspired metaphors. 

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Prof.Anhui  Liang(梁安辉教授)IEEE Senior Member

Guangdong University of Technology(GDUT), China

Chief Scientist,Wuhan Research Institute of Post and Elecommunications,China


Speech Title: Application of Optical Fiber Communication Technology in Intelligent Mobile Device

Speech Abstract:TAB

 

 

 

 

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Prof.Zainab Abu Bakar

Al-Madinah International University, Computer Science


Speech Title: Empowering Information Retrieval in Semantic Web

Speech Abstract: Information Retrieval was the center of stage for the library until the inception of Web 1.0 that was defined as search and passive in nature. Then the emergence of Web 2.0 that encouraged community, social interaction and user-generated content. Web 3.0 is a recent phenomenon and is known as “3D Web or Semantic Web”. The term "Semantic Web" is often used more specifically to refer to the formats and technologies that enable it. While, Web 4.0: Ultra Intelligent Electronic Agents Interaction between humans and machines.

Semantic technology encodes meanings separately from data and content files, and as well as separately from application codes. This enables machines as well as people to understand, share and reason with them at execution time. With semantic technologies, adding, changing and implementing new relationships or interconnecting programs in a different way can be just as simple as changing the external model that these programs share. Given an information need, semantic technologies can directly search, capture, aggregate, and make deduction in order to satisfy the need. 

This paper present a theoretical and developmental framework of knowledge representation for ensemble semantic technology base on ontology, semantic Web, and logical model, a connectivity framework and technology of distributed communicating system formalism based on ensemble intelligent agents to share knowledge through message passing technique and a theoretical and developmental framework for knowledge discovery which include knowledge aggregation engine to combine, normalize and summarize related information from various disparate sources to serve information needs.

These theoretical and developmental frameworks empowers Web 3.0 and embrace Web 4.0. We might still well be in Web 3.0 but 4.0 is coming and it's coming fast. 

 

 

 

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Dr.Mahmoud Ahmad Al-Khasawneh

Al-Madinah International University / Faculty of Computer and Information Technology


Speech Title:  IOT Opportunities and Challenges

Speech Abstract: The Internet of Things (IoT) entails a connectivity extension into a bigger range of human environment. It allows more data comprehensions, analytics as well as competences of control of the world. In many ways, IoT has impacted the lives of man. Indeed, the possible prospects of IoT have been explored by many. As IoT has greater capacity and interconnectedness, many have begun to employ IoT as replacement of previous technologies. Accordingly, among the novel initiatives driven by IoT technologies include Society 5.0 in Japan, Smart and Connected Communities in USA, and PICASSO (ICT Policy, Research, and Innovation for a Smart Society) in EU. All these initiatives are part of the scrutiny of future concepts that are important to both the culture and the society made possible with the technologies of IOT.

Through IoT, consumers are presented with services and products that are innovative, at the time, place and in the manner that they desire. As IoT technologies improve in terms of reliability, affordability, extend of coverage, and in terms of its customization ability, the trend is expected to accelerate. Somehow, there are foundational obstacles currently facing IoT. Among these obstacles include the demand for scientific principles for the creation of IoT system design that is strong, hardy, and foreseeable, in addition to the demand for engineering principles for the construction of IoT open-systems that are scalable, verifiable, and trusted, as well as the need for human-centric principles for system engineering with the application of IOT.

 

 

 

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A.Prof. Ali Nizam

Engineering Faculty, Computer Engineering Department, Fatih Sultan Mehmet Vakif University, Turkey 

Speech Title:  The Ethical Problems and Possible Solutions in Artificial Intelligence Systems 

Speech Abstract:   Artificial Intelligence Systems (AIS) that attempt to mimic cognitive functions of humans have become increasingly capable of conducting tasks such as pattern recognition, scheduling, data mining, logistics, speech recognition, image recognition, and many others. Robots and automated systems have gained more visibility on the public level and involved in more areas of society in the last decade. 

The widespread adoption of AIS is raising concerns about the social and economic impact such as the misuse of those systems, the rise of the unemployment rate and the effect of the decisions of automated systems. In an autonomous vehicle, a machine learning algorithm’s decision or fault can harm directly a person’s life. The discussions to address policy and ethical issues in AI result in the new research area, unlike computer ethics which has focused on ethical issues surrounding computing professional’s use of machines regarding professional and social conduct. The AI ethics is concerned with ethical issues about the behavior of machines towards human and the other machines. 

In this talk, we will discuss what are the technical, social, religious and national challenges of developing AI systems that behave ethically acceptable. The other topics are the new standards, opportunities, and competitive advantages that AI reveals in the information technology area. It is our hope that this discussion will provide useful insights into identifying new research areas about AI ethics. 

 

 

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A Prof.Najeeb Abbas Al-Sammarraie

Al-Madinah International University-Faculty of Computer and Information Technology

Speech Title: Challenges and issues of E-Learning

Speech Abstract: The speech address an important aspect that has a direct impact on the development of the philosophy of learning and e-learning. It is an important as a part of the infrastructure to build an integrated system of education.   In addition, discuss the development of learning / E-learning and then show the impact of new technology on education. Computer science now in virtually in somehow affect all areas of our life. Learning one area which have significant revolution. Technology nowadays, however deeply impacts learning.

Nowadays with rapid advancement of technology, teachers using technology today to help them improve the education Pedagogy, and move from face-to-face learning to E-learning.

E-Learning can be look in different views to different people. Many aliases such As Distance learning, online learning, Electronic Training, and electronic performance support. Therefore, this talk focus on Impacts of E-Learning as well as the new technologies as well as the challenges. Thus, understanding probably the clearest barrier to learning online is the technology: hardware, software, and being able to use it all, the E-learning to be effective so we will understand how to be effected be new technology.

In order for e-learning to be effective we must be able to measure e-learning effectiveness, the impact of e-learning can also be measured based on the contentment of the learners. The expertise gained have a direct correlation to the impact of an e-learning program. If the learners do not gain the desired skillfulness even after taking the e-learning program, then it would be characterize ineffectual. The number of leaners complete the course can be one of the criteria to measure the efficacy and performance of e-learning program, also the program considered successful if it fulfilled the required Institute   approach. Once have full view of the effectiveness of e-learning can look at how the new technology will Impacts E-Learning. New technology offer significant opportunities for collaboration, there are various directions in which new technology has made education more attainable, new technologies have made it less costly for learners to get the study or test elaboration that they need. This not only makes learning opportunities far more accessible, but it also evens the playing field between learners who may come from different economic backgrounds.

The shape of new technology can be define by Cloud Computing which is new model based on the network computing, and virtualization technology. Particularly in the area of education, this technology will provide a powerful platform to the future of e-learning, include safe data storage the schools can save money through using technology even it expensive. Using electronic documents and virtual environment will learner more experiences.

Many Challenges and issues concerning E-learning, all based on the environments of the researchers. In general, the key points of challenge is:

  1. Not every online learner obliged, they probably distraught, or work.

  2. In fact e-learning budgets will be limited by the financial resources

  3. New technology  tools , improve  very fast, the challenge here, is which technology  worth employment

  4. Finding new path to plan and create e-learning courses for different generations.

  5. Finding new intellect to create learning content, will be a great movement.

  6. The challenge to select a new e-learning tools or new  management system very difficult,

 

 

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