Intelligent Systems

The following I listed some of computer science  IEEE Journals that are relevant to our current works at Faculty of Computer Science, Universitas Indonesia.
All links to the paper are given in the Journal Names. I also computed the average on each column.
I randomly select 5 most popular and recent “Regular” papers from each Journal to compute Review Time, Revision Time, and Publication Time.
Sometimes, the Revised date or the Publication date were not given in the paper but only the Accepted date (thus adaptation is necessary).

Actors in competitive environments are bound to decide and act under conditions of uncertainty because they rarely have accurate foreknowledge of how their opponents will respond and when they will respond. Just as a competitor makes a move to improve their standing on a given variable relative to a target competitor, she should expect the latter to counteract with an iterative lagged asymmetric response, that is, with a sequence of countermoves (iteration) that is very different in kind from its trigger (asymmetry) and that will be launched at some unknown point in the future (time lag). The paper explicates the broad relevance of the newly proposed concept of " iterative lagged asymmetric responses " to the social study of temporality and to fields as diverse as intelligence and counterintelligence studies, strategic management, futures studies, military theory, and long-range planning. By bringing out in the foreground and substantiating the observation that competitive environments place a strategic premium on surprise, the concept of iterative lagged asymmetric responses makes a contribution to the never-ending and many-pronged debate about the extent to which the future can be predicted.
DOI: https://doi.org/10.1177/0961463X17752652

This research was funded by, and implemented within, a UK national research organisation, while the author was the KE and Impact Evaluation Manager responsible for assessing impact on a £15m UK government-funded research programme.

This work was also submitted as the authors MBA dissertation which was accepted and awarded in 2009.

ABSTRACT: A methodology and methods ‘toolbox’ is proposed for conducting impact research and assessment from within research programmes. The emphasis is upon how to clarify and assess the wider impacts from the early stages onwards.

The approach explicitly acknowledges, and attempts to address, the known issues and challenges of impact assessment while drawing upon the resources and opportunities available to research managers and researchers within such programmes.

The study has two triangulating foundations. Firstly, it examines the academic literature to help identify and design the pilot methodology and methods. Secondly it trials these in a real programme to both test and improve them.

The study was conducted over one year within one leading UK research organisation, where two research programmes (and around 60 research projects of £15m total value) were being assessed for their impacts. The study draws upon actual impact management experience and reflection, prospective (ex ante) and retrospective (ex post) assessments, participatory contributions from leading researchers undergoing assessment, and consultation with external users. The findings of this study outline the pilot and its first iteration. Recommendations are made for improvement to the methodology and methods.

A subsequent follow-on bid to UK government incorporating the impacts identified from implementing this methodology, successfully led to a further £15m of government funding.

It is expected the pilot methodology and methods will be applicable to other organisations, conducting and funding such research programmes, required to research and assess the wider research impacts.

Although primary focus of implemetation trials was upon research in physical sciences, technology, high-tech engineering, computing/IT, and environment, the wider literature study, the methodology design and justification, the methods proposed and used, and the resulting general recommendations and lessons are expected to apply more broadly to many other research areas, where the impact is to be found more widely in the society, economy, government or public sector or within organizations, policies, professions or the public.

Interest in this work is expected from research programme managers, impact managers and assessors, management consultants advising in this area, and government funding managers, all seeking to embed a developing approach to understand, capture, and enhance wider impact.

This article provides an analysis of the problematic of foresight in traditional Chinese thought, articulating it with current developments in the epistemology of futures studies, planning theory, and strategic management. It is argued that in Chinese thought the answer to the question " Can the future be predicted? " depends on the forecasting horizon: whereas the immediate future can be sensed and taken advantage of by immersing oneself in the evolving situation, the remote future is fundamentally unpredictable. These dual answers are entrenched in discussions of what constitutes wisdom, opening up productive spaces of encounter between the problematic of foresight and the problematic of wisdom. https://doi.org/10.6531/JFS.2018.22(3).00A35

This book constitutes the thoroughly refereed proceedings of the second International Symposium on Intelligent Systems Technologies and Applications (ISTA’16), held on September 21–24, 2016 in Jaipur, India. The 80 revised papers presented were carefully reviewed and selected from 210 initial submissions and are organized in topical sections on image processing and artificial vision, computer networks and distributed systems, intelligent tools and techniques and applications using intelligent techniques.

Formal university and college Intelligence Studies degree programs have experienced a pronounced growth in recent years, exhibiting a richness in diversity and engagement in both institutional type and instructional delivery. At face value American academia seems about to embark on a new era of cooperation and understanding with the U.S. Intelligence Community (IC). But in seeking to determine whether progress in this development is as significant as is hoped in Washington, DC, this study reveals a persisting historical concern and academic bias that constrains the latent collaboration.

Security systems and navigators have always been a
necessity  of  human‟s  life.  The developments  of  advanced
electronics  have brought  revolutionary  changes  in  these  fields.  In  this  paper,  we  will  present  a  vehicle  tracking  system that employs a GPS module and a GSM modem to find the location of a vehicle and offers a range of control features. To complete the design successfully, a GPS unit, two relays, a GSM Modem and two MCU units are used. There are five features introduced in  the  project. The  aim of this project  is  to  remotely  track  a vehicle‟s location, remotely switch ON and OFF the vehicle‟s ignition  system  and  remotely  lock  and  unlock  the  doors  of  the  vehicle. An SMS message is sent to the tracking system and the system responds to the users request by performing appropriate actions.  Short  text  messages  are  assigned  to  each  of  these features. A webpage  is specifically designed to  view  the vehicle‟s location on Google maps. By using relay based control concept  introduced in  this  paper, number  of  control features such  as  turning  heater  on/off,  radio  on/off  etc.  can  be implemented in the same fashion.

This invited paper addresses key contemporary issues in Air Traffic Management (ATM) and avionics systems research focusing on the crucial challenge currently faced by the aviation industry: enhancing safety, efficiency and environmental sustainability of the sector in an era of steady air traffic growth. The aim is to foster opportunities for industrial innovation and multidisciplinary research collaboration in areas of strategic interest such as future systems for Air Traffic Flow Management (ATFM), Dynamic Airspace Management (DAM) and cooperative/non-cooperative surveillance, towards establishing a coherent framework for the evolution of the ATM sector in the Asia-Pacific region and globally. Starting from SESAR/NextGen top-level operational and technical requirements, this paper presents integrated Communication, Navigation and Surveillance/ATM and Avionics (CNS+A) system architectures implementing 4-Dimensional Trajectory Optimisation (4DTO) algorithms, data link communications and enhanced surveillance technologies, as well as adaptive cognitive forms of Human-Machine Interface and Interaction (HMI2), allowing the automated negotiation and validation of aircraft intents for safer and more efficient ATM operations. As an integral part of this CNS+A evolutionary process, specific requirements for Unmanned Aircraft Systems (UAS) navigation, communication and cooperative/non-cooperative Sense-and-Avoid (SAA) are being addressed in order to allow the safe and unrestricted access of UAS to all classes of airspace.

This thesis addresses issues related to evolution of skillful motions of industrial robots. It is motivated by the increasing need to have more intelligent and autonomous robots to improve the flexibility and robustness of factory automation systems in uncertain work environments. The thesis focuses on two problems: 1) evolutionary optimization in changing fitness landscapes and environments, and 2) synthesis of skillful behavior in robots, based on natural phenomena in motor skill acquisition together with the implications of human morphology to skillful manipulation. A considerable weight is given to learning from nature and its robust dynamics to evolve smart species like humans and human-like manipulation skills.

The first chapter gives an introduction of the background, motivation and the overview of the thesis. The second chapter presents a novel evolutionary algorithm to optimize both in static as well as dynamic multi-modal fitness landscapes. The characteristic features of how the nature sustains a robust evolutionary process in changing environmental conditions are discussed and modeled in a simple way. It is shown through mathematical and empirical evidences that the new evolutionary algorithm performs better than conventional methods.

Redundant manipulators are best suited for human-like manipulation tasks due to their morphological similarity with the human arm. Yet, identification of dynamics and model-based control of redundant manipulators is a significant problem due to the volume of calculations and the resulting processing burden. In the third chapter, this thesis presents a very effective alternative, based on Runge--Kutta--Gill neural networks (RKGNNs). The generalizability of the adopted design principles makes it very effective in real world applications. Furthermore, the mechanism found in the human motor system to learn complex skills by adaptive combination of motor primitives is treated as a basis to develop a novel model based control method for multi-link manipulators in the fourth chapter.

Based on the view that intelligence is an effect of some underlying causes and conditions in the biology of the brain, the thesis hypothesizes that the level of motor skills of a human is as strong as the comprehensiveness of the internal evaluation functions pertaining to state dependant actions. In the fifth chapter, this thesis emphasizes the importance of constructing a comprehensive set of multi-objective evaluation functions to evolve skillful behaviors of a robot. The idea is demonstrated through an application of a mobile robot navigating in an uncertain environment.

An important part of intelligence related to human arm motions is that humans make full use of the redundancy of the arm while performing skillful tasks. In the sixth chapter, this thesis presents a novel configuration controller optimized using an evolutionary approach for redundancy resolution of manipulators. A {\em gradually growing} multi-objective fuzzy set based objective function is designed so that it prioritizes objectives and starts with high priority objectives and goes on adding auxiliary objectives over the generations of the evolutionary process. This kind of a gradually growing multi-objective problem (MOP) is supposed to be very similar to the natural process of evolving complex systems starting from simple structures. In the seventh chapter, the importance of this approach to extend the dexterity and reliability of teleoperated manipulators is experimentally demonstrated.

Finally a discussion on the advantages, limitations and drawbacks of the proposed methods is given in the eighth chapter. The experiments to demonstrate the validity of the proposed methods were performed on an industrial 7-DOF manipulator called PA-10, manufactured by the Mitsubishi Heavy Industries Ltd.

Resurgent interest in artificial intelligence (AI) techniques focused research attention
on their application in aviation systems including air traffic management (ATM), air traffic flow management (ATFM), and unmanned aerial systems traffic management (UTM). By considering a novel cognitive human–machine interface (HMI), configured via machine learning, we examined the requirements for such techniques to be deployed operationally in an ATM system, exploring aspects of vendor verification, regulatory certification, and end-user acceptance. We conclude that research into related fields such as explainable AI (XAI) and computer-aided verification needs to keep pace with applied AI research in order to close the research gaps that could inder operational deployment. Furthermore, we postulate that the increasing levels of automation and autonomy introduced by AI techniques will eventually subject ATM systems to certification requirements, and we propose a means by which ground-based ATM systems can be accommodated into the existing certification framework for aviation systems.

This paper describes the work currently undergoing as part of DEFRA sponsored feasibility study ‘Resource Management and Product Traceability (e-Track)’. This project addresses the process flow and operations management within the current food industry. It aims to improve the food production process by providing techniques for real-time resource management, product quality assessment and traceability. This is to be achieved by Firstly, to gain an understanding of the interdepartmental and organisational relationships and
interdependencies within the food processing industry. Secondly, to identify key factors, that affects the entire
production process, and the logical relationship between them. Thirdly, to investigate the feasibility to provide suitable methods and propose solutions in the form of a generic suite of intelligent decision and management support tool. The transformation must be gradual to avoid any prohibitive costs and consequences. It should take into account the current technologies, moving gradually towards efficient, automated, adaptable, cost effective and user friendly systems.

The present study examines the driving forces behind smart city implementations. Besides the results of international and European standardization efforts, the importance of holistic approach to cities and the issues of cities as complex systems will also be discussed. Furthermore, the relationship between cyber-physical systems and smart cities will be presented, and finally, certain conclusions will be drawn about the safety and security of smart cities. The urban structures and technological advances presented in this article mark the arrival of the next industrial revolution, which means that these intelligent and smart systems will cover all aspects of life.

On the basis of their use, the DSS has received positive feedback from the University's decision makers.Making use of Intelligent Decision Support Systems (IDSS) technologies suited to provide decision support in the higher education environments, by generating and presenting relevant information and knowledge which are helpful in taking the decision regarding admission management in higher education colleges or universities. The university decision makers' needs and the DSS components are identified with the help of
survey done.In this paper the components of a decision support system (DSS) for developing student admission policies in higher education institute or in the university and the architecture about DSS based on ERP are proposed followed by how intelligent DSS in conjunction with ERP helps to overcome the drawbacks , if ERP is used alone in higher education institutes

The Cambridge Analytica scandal in March 2018 was a useful reminder of how personal data is used for targeting users and of how such targeting has profound societal consequences. Online behavioural advertising refers to advertisements, which are tailored to the tastes and habits of the user who actually views them. It is an intricate phenomenon for a number of reasons, including a twofold regulatory interweave. Firstly, between top-down and self-regulation. Secondly, between the personal data perspective and the competition one. This paper aims to get the knots out in the belief that raising awareness about the issues in online behavioural advertising is pivotal to a fair online environment. The paper is particularly timely in light of new regulations (draft ePrivacy Regulation and General Data Protection Regulation), worrying industry moves (e.g. the Facebook / WhatsApp data synchronisation), and the advent of new technologies. In particular, it will be shown that artificial intelligence presents not only threats to consumers, but also opportunities for bespoke compliance mechanisms. As an appendix, the “Cooperative Charter for an Integrated Approach to Online Behavioural Advertising” is presented in order to facilitate the dialogue between the stakeholders and ensure a balanced regulation of online behavioural advertising.

Le concept de publicité comportementale en ligne désigne des publicités adaptées aux goûts et aux habitudes de l’utilisateur pour qui elles s’affichent. Il s’agit d’un phénomène complexe pour différentes raisons, dont notamment une double question réglementaire : d’abord, elle génère un débat entre la nécessité d’une régulation du haut vers le bas ou d’une autorégulation; ensuite, elle confronte une approche centrée sur la protection des données personnelles aux tendances du marché. Le présent article a pour but de dissiper le postulat selon lequel les problématiques relatives à la publication comportementale en ligne sont déterminantes pour un environnement en ligne équitable. La contribution traite en particulier des nouvelles législations (Projet de Règlement ePrivacy et Règlement général sur la protection des données), qui font craindre des changements entrepreneuriaux (par exemple, la synchronisation des données Facebook/WhatsApp), et l’avènement de nouvelles technologies. Il sera démontré, en particulier, que l’intelligence artificielle comporte certes des menaces pour les consommateurs, mais aussi des opportunités propices à la mise en place de mécanismes de compliance adaptés. ’instrument «Cooperative Charter for an Integrated Approach to Online Behavioural Advertising» est présenté en annexe. Il vise à faciliter un dialogue entre les différents groupes d’intérêts et à assurer une réglementation équilibrée de la publicité comportementale en ligne.

PLEASE CITE AS: Guido Noto La Diega, ‘Some considerations on intelligent online behavioural advertising’ (2017) 66-67 Revue du droit des technologies de l'information 53-90

The full paper will be available after the embargo ends

This paper explores the synergies between a novel Global Navigation Satellite System (GNSS) Avionics-Based Integrity Augmentation (ABIA) system and current Space and Ground Based Augmentation Systems (SBAS and GBAS). The ABIA Integrity Flag Generator (IFG) is designed to provide caution and warning integrity flags (in accordance with the specified time-to-caution and time-to-warning requirements) in all relevant flight phases. The ABIA IFG performances are assessed and compared with the SBAS and GBAS integrity flag generation capability. Simulation case studies are presented using the TORNADO-IDS platform and they provide insights on possible mutual benefits attainable by integrating ABIA with SBAS and GBAS systems. The results show that the proposed integrated scheme is capable of performing high-integrity tasks when GNSS is used as the primary source of navigation data. Furthermore, it is evident that there is a clear synergy of ABIA with SBAS and GBAS in providing suitable (predictive and reactive) integrity flags in all flight phases. The integration is thus a clear opportunity for future research towards the development of a Space-Ground-Avionics Augmentation Network (SGAAN) for a number of safety-critical aviation applications.

Urbanization has been evolved both in developed and emerging countries in the world. Increase of urban population, mobility, the usage of internet and computerized systems, environmental friendly applications are likely to lead dynamic changes in the community life and also life style. Increasing of the car usage and the need for carriage induce rapid growth of traffic intensity which cause some transportation problems especially in the road transportation industry in the world. Intelligent Transport Systems (ITS) have been developed to solve probable problems caused by the modern transportation environment through the adaption of innovative technologies recently. ITS are the advanced integration systems which plan, manage and control all the relations of passengers, drivers, vehicles, road operators, managers and the environment. Furthermore, the aims of these systems are to deal with traffic congestion, traffic and road status, pedestrians, vehicles, roads, traffic jam, pollution and accidents for efficient and safety transportation management by using computer, electronics and communication technologies in many countries.
With the increased problems of the traffic congestion in the metropolitan cities in Turkey, the road transportation management has become a vital research topic to overcome its major problems immediately. By this reason, Intelligent Transport Systems are considered as new promising applications to solve these problems in Turkey. In line with this aim, the purpose of this paper is to shed light on the usage, benefits and importance of these systems with available applications in Turkey especially Turkish road transportation industry.

Using linguistic values to assess results and information about external factors is quite usual in real decision situations. In this article we present a general model for such problems. Utilities are evaluated in a term set of labels and the information is supposed to be a linguistic evidence, that is, is to be represented by a basic assignment of probability (in the sense of Dempster-Shafer) but taking its values on a term set of linguistic likelihoods. Basic decision rules, based on fuzzy risk intervals, are developed and illustrated by several examples. the last section is devoted to analyzing the suitability of considering a hierarchical structure (represented by a tree) for the set of utility labels. © 1992 John Wiley & Sons, Inc.

Access to relevant and accurate information is at the heart of tourism, more so in this era of the Internet information overload has become a prevalent phenomenon and as such a serious issue for those seeking for appropriate information. Furthermore, various researches have been carried out on how to make information on tourism website more effective. Intelligent tourism management system tries to bridge the gap by noting what a tourist perceives as relevant, in terms of content pertaining to tourism products in tourism websites. This study focuses mainly on content because it is seen as the key factor associated with an effective website. Hence, the aim of this research entails the design and implementation of an intelligent platform that will assist tourists in gaining access to information on tourist locations in Nigeria. In view of the forgoing, the system was implemented using Rational Unified Process as the adopted software development process, whereas MySQL, HTML and PHP were the implementation tools used in the development of the system. Upon completion, the system was able to provide information by fetching information from the web pertaining to the subject of interest to assist tourists in decision making process. It was also able to act intelligently by using hybrid recommendation technique to recommend tourist locations based on their preference.

Prediction has been successfully applied in sports like football and basketball. Although in certain aspects, this application has been of very small limits. It is very necessary to look into the application of Machine Learning in these instances and see if its application can yield better results in the analysis of soccer. Machine learning which an area of Intelligent Systems (IS) is will be used in this report to help provide solution to problems faced by bookmakers in aspect of predicting the results of the football league. Although, it is necessary to note that taking into account all the features that have great influence on the results of football league matches is a difficult fit but this study has been able to find most features that are significant. By making use of machine learning and database that is more precise, this research aims to proffer a solution that will help to make predictions more accurate and precise. Being aware of what the future holds is something that will be a lot easier by making use of this IS.

In this study, a Best First Search (BFS) Based Intelligent PID Tuning Method is proposed for a mobile robot path tracking problem. BFS is an informed search strategy in Artificial Intelligence (AI). It has been used in many areas of intelligent systems. Here, it is used to search values of both ultimate period and ultimate gain of Ziegler-Nichols (ZN) PID Tuning Method. So, using these ultimate period and gain, PID parameters can be c from tables of ZN method. The performance measure in this problem is described as minimizing total error during any specified trajectory tracking. Thus the proposed method does not depend on the system model. It only needs error information during the tracking control. So, this method can be used to tune PID parameters of any tracking controller for a system with unknown system dynamics. The proposed method is tested with simulations in MATLAB during trajectory tracking of a mobile robot. In addition, it is compared with classical PID and conventional PID tuning methods including Ziegler-Nichols method, Tyreus-Luyben method, and Shinskey method.

Keywords: Intelligent PID tuning, best first search, autonomous mobile robot, mobile robot path tracking problem, computed torque PID control, dynamic model, Ziegler-Nichols, Tyreus-Luyben, Shinskey.

More than 2 million people in the United States are unable to speak or use handwriting as an effective and efficient mean of communication (ASHA,2004). This paper discusses a brief history of augmentative alternative communication (AAC) devices. The ultimate goal of an AAC intervention is to enable individuals to efficiently and effectively engage in a variety of interactions. Communication is a critical element of staying connected to society and is the tool for redefining one’s self. This paper discusses the history of AAC, as well as etiologies that may benefit from AAC use. Without access to speech, individuals are severely restricted within communication and participation in all aspects of life. Furthermore, new mobile technology such as the iPad has brought AAC into the mainstream. The iPad and other mobile technologies provide powerful new tools to potentially enhance communication for individuals with developmental disabilities, acquired neurogenic disorders, and degenerative neurological conditions. A brief comparison between today's mobile technologies and traditional AAC devices such as the Picture Exchange Communication System (PECS) and the Voice Output Communication Device (VOCD) proves which speech generating device (SGD) is more beneficial to individuals that require AAC.


Keywords: Augmentative alternative communication; Picture Exchange Communication System; Voice Output Communication; Speech Generating Device; iPad; Mobile technology

The subject of this paper is the control of autonomous vehicles. A hierarchical approach is studied in the context of fuzzy systems and a programming language for the mid to low level control of autonomous vehicles is described. The language, called FDTL (Fuzzy Decision Tree Language), is based on a computational model that combines fuzzy rule based control with the hierarchical nature of decision trees. Encouraging results are obtained from both the simulator and a real autonomous vehicle.

We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual underpinnings, in order to help emphasise the relevant issues. To answer the question, we review a large number of empirical studies, in which samples of behaviour are used to automatically infer a range of psychological constructs, including affect and emotions, aptitudes and skills, attitudes and orientations (e.g. values and sexual orientation), personality, and disorders and conditions (e.g. depression and addiction). We also present a general perspective that can bring these disparate studies together and allow us to think clearly about their philosophical and ethical implications, such as issues related to consent, privacy, and the use of persuasive technologies for controlling human behaviour.