ANALYSIS OF ECHO CHARACTERISTICS FOR TIME - VARYING SCATTERERS

Author :  Junjie Wang

Affiliation :  National University of Defense Technology, Changsha, China

Country :  China

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 01, January, 2020b

Abstract :

Phase modulation technique is that the phase information of signal varies proportionally with a modulated signal, which is commonly applied in the field of communications. The current processing method mainly uses the active devices to intercept, modulate and repeat, but the devices are complicated and require a certain processing time. In this paper, Phase modulation method based on phase-switched screen (PSS) is studied and the echo characteristics are analyzed. Meanwhile, the realization of PSS time-varying modulation is discussed. Simulation results are utilized to demonstrate the effectiveness of the proposed method.

Keyword :  Linear frequency modulation (LFM), frequency spectrum shifting, phase-switched screen (PSS)

For More Details :  https://aircconline.com/csit/papers/vol10/csit100104.pdf

TENSORFLOW 2.0 AND KUBEFLOW FOR SCALABLE AND REPRODUCABLE ENTERPRISE AI

Author :  Romeo Kienzler

Affiliation :  IBM Center for Open Source Data and AI Technologies, 505 Howard St, San Francisco

Country :  Switzerland

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 01, January, 2020

Abstract :

Towards the End of 2015 Google released TensorFlow 1.0, which started out as just another numerical library, but has grown to become a de-facto standard in AI technologies. TensorFlow received a lot of hype as part of its initial release, in no small part because it was released by Google. Despite the hype, there have been complaints on usability as well. Especially, for example, the fact that debugging was only possible after construction of a static execution graph. In addition to that, neural networks needed to be expressed as a set of linear algebra operations which was considered as too low level by many practitioners. PyTorch and Keras addressed many of the flaws in TensorFlow and gained a lot of ground. TensorFlow 2.0 successfully addresses these complaints and promises to become the go-to framework for many AI problems. This paper introduces the most prominent changes in TensorFlow 2.0 targeted towards ease of use followed by introducing TensorFlow Extended Pipelines and KubeFlow in order to illustrate the latest TensorFlow and Kubernetes ecosystem movements towards simplification for large scale Enterprise AI adoption.

Keyword :  Artificial Intelligence, TensorFlow, Keras, Kubernetes, KubeFlow, TFX, TFX Pipelines

For More Details :  https://aircconline.com/csit/papers/vol10/csit100103.pdf

REVISIT DIALOGFLOW IN AN ENGLISH TEACHING VIRTUAL ASSISTANT USE CASE

Author :  M.S. Tran

Affiliation :  AI Lab, Topica Holding, Hanoi

Country :  Vietnam

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 01, January, 2020

Abstract :

We deployed a conversation chatbot as a virtual assistant teaching English via Internet. The system was developed on the base of Moodle as Learning Management System and DialogFlow as Dialogue Management System. It is interesting that the crucial problem we had to face here is the lack of an efficient authoring tool in order to generate in mass the dialog scenarios fed into Moodle and DialogFlow. In our concrete case - teaching English for beginners - the Dialogflow platform seems to be a cumbersome tool. Especially with bad internet connection, sending messages back and forth to Dialogflow may degrade smooth conversation experience. We therefore built an authoring tool to fasten up the conversation rules generation. We also replace Dialogflow with a local browser-based dialogue management engine. The lessons taught with our systems – our English teaching virtual assistant – seem interesting to students and receive encouraging feedbacks.

Keyword :  Chatbot, Dialogflow. Artificial Intelligence, Natural Language Processing.

For More Details :  https://aircconline.com/csit/papers/vol10/csit100102.pdf

INNOCROWD, A CONTRIBUTION TO AN IOT BASED ENGINEERING PRODUCT DEVELOPMENT

Author :  Camille Salinesi

Affiliation :  CRI -Paris 1 Sorbonne University

Country :  France

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  10, 01, January, 2020

Abstract :

System engineering focuses on the realization of complex systems, from design all the way to management. Meanwhile, in the era of Industry 4.0 and Internet of Things, systems are getting more and more complex. This complexity comes from the usage of smart sub systems (e.g. smart objects, new communication protocols, etc.) and new engineering product development processes (e.g. through Open Innovation). These two aspects namely the IoTrelated sub system and product development process are our main discussion topics in our research work. The creation of smart objects such as innovative fleets of connected devices is a compelling case. Fleets of devices in smart buildings, smart cars or smart consumer products (e.g. cameras, sensors, etc.) are confronted with complex, dynamic, rapidly changing and resource-constrained environments. In order to align with these context fluctuations, we develop a framework representing the dimensions for building Self-adaptive fleets for IoT applications. The emerging product development process Open Innovation is proven to be three time faster and ten times cheaper than conventional ones. However, it is relatively new to the industry, and therefore, many aspects are not clearly known, starting from the specific product requirements definition, design and engineering process (task assignment), until quality assurance, time and cost. Therefore, acceptance of this new approach in the industry is still limited. Research activities are mainly dealing with high and qualitative levels. Whereas methods that supply more transparent numbers remain unlikely. The project-related risks are therefore unclear, consequently, the Go / noGo decisions become difficult. This paper contributes ideas to handle issues mentioned above by proposing a new integrated method, we call it InnoCrowd. This approach, from the perspective of IoT, can be used as a base for the establishment of a related decision support system.

Keyword :  Industry 4.0, Internet of Thing, Crowdsourcing, Neural Network, Decision Support System

For More Details :  https://aircconline.com/csit/papers/vol10/csit100101.pdf

AN AUGMENTED INTELLIGENCE MODEL TO EXTRACT PRAGMATIC MARKERS

Author :  Vijay Perincherry

Affiliation :  Indiggo Associates, Bethesda, Marylan

Country :  USA

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  9, 11, August, 2019

Abstract :

This paper presents a novel methodology for automatically extracting pragmatic markers from large streams of texts and repositories of documents. Pragmatic markers typically are implications, innuendos, suggestions, contradictions, sarcasms or references that are difficult to define objectively, but that are subjectively evident. Our methodology uses a two-stage augmented learning model applied to a specific use case, extracting from a repository of over 1500 Article IV country reports prepared for government officials by International Monetary Fund (IMF) staff. The model uses principles of evidence theory to train a machine to decipher the textual patterns of suggested actions for government officials and to extract those suggestions from the country reports at scale. We demonstrate the effectiveness of the model with impressive precision and recall metrics that over time outperform even the human trainers.

Keyword :  Natural Language Understanding, Augmented Intelligence,Pragmatics, Text Processing

For More Details :  https://aircconline.com/csit/papers/vol9/csit91110.pdf

MITIGATE CONTENT POISONING ATTACK IN NDN BY NAMESPACE AUTHORIZATION

Author :  Pengfei Yue

Affiliation :  Department of Computer Inner Mongolia University Hohhot

Country :  China

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  9, 11, August, 2019

Abstract :

The Named Data Networking (NDN) immunes to most of the attacks which exist in today’s Internet. However, this newborn network architecture may still subject to Distributed Denial of Service (DDOS) attacks if less evaluation is paid. In this paper, we firstly give a survey of the state of art works on the mitigations of the Content Poisoning Attack (CPA) in NDN and discuss their limitations as well. After this, we give out our mitigation and the results from simulations show that with the implementation of our mitigation, the Interest Satisfaction Rate (ISR) of all Consumers maintains a highly acceptable rate even when network is under CPA.

Keyword :  The Named Data networking (NDN), Denial of service attack (Dos), Content Poisoning Attack (CPA)

For More Details :  https://aircconline.com/csit/papers/vol9/csit91109.pdf

INFORMATION –SYMMETRY AND FEYNMANDIAGRAMS APPLIED TO COMPUTING MODELS

Author :  Carlos J. Martinez

Affiliation :  Department of Research, Hispatel Ing., Murcia

Country :  Spain

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  9, 11, August, 2019

Abstract :

The evolving complexity of modern technologies brings new concepts, solutions, tools, but also new needs and problems. We review a computing and communication model inspired in physics, to examine complex systems under a perspective of physics-inspired principles like symmetry and conservation-laws. Aiming to help design, build, and control systems, we apply concepts like Information-Symmetry, propagation of information, or inertia to model communications. Modelling computing under physics reactions and conservation laws gives tools to automatically audit each process and create side effects on deviations, bringing advantages in verification, security, and to gain reliability. We review the Feynman-diagrams in computing, rotating diagrams to obtain reversible operations from one formula, and using the diagrams to verify consistency against a unique computing expression. Applications include dealing with data uncertainty, we show advantages to control fuzzy systems and reduce dataset needing further screening. Model and diagrams are proposed as tools to help automate and refine designs, and to gain in reliability.

Keyword :  Unconventional Computing Model, Inertia, Data Communications, Symmetry, Reliability, Cloud, Fuzzy.

For More Details :  https://aircconline.com/csit/papers/vol9/csit91108.pdf