Query: trends in computing

Candidate papers:

abstract: The development of IC technology is driven by the needs to increase performance and functionality while reducing size, weight, power consumption, and manufacturing cost. As Gordon Moore predicted in his seminal paper, reducing the feature size also allows chip area to be decreased, improving production, and thereby reducing cost per function. The scaling laws showed that improved device and ultimately processor speed could be achieved through dimensional scaling. However, all trends ultimately have limits, and Moore's law is no exception. The limits to Moore's law scaling have come simultaneously from many directions. Lithographic limits have made it extremely difficult to pack more features onto a semiconductor chip, and the most advanced lithographic techniques needed to scale are becoming prohibitively expensive for most Fabs. The optical projection systems used today have very complex multielement lenses that correct for virtually all of the common aberrations and operate at the diffraction limit.
author_names: Khaled Mohamed
title: An Introduction: New Trends in Computing
year: 2020

abstract: The presented here a collection of conference papers is a Special Volume on Recent Trends in Computing that was compiled by the editors for the Mathematical and Computational Forestry Natural Resource Sciences (MCFNS) journal. The creation of this Special Issue and the Special Section, which contains it, was requested by the organizers of the International Conference on Recent Trends in Computing (ICRTC 2017) held on Dec. 14 15, 2017, at the SRM Institute of Science and Technology (formerly SRM University) on the NCR Campus, Tamil Nadu, India. The purpose of the Special Section hosting this volume is to contain publications originated from this and other similar scientific endeavors involving research on developments of computing technology as relevant to various Computational Sciences associated with natural resources or related to their research and management. In the current issue, dedicated in its entirety to this conference, we present a set of the papers in this category, which includes 29 selected examples of research that have been reviewed externally by the conference organizers.
author_names: M Rajesh

Varaharajan Kannan

Chris J Cieszewski
title: Special Issue on SELECTED EXAMPLES OF RECENT TRENDS IN COMPUTING
year: 2019

abstract: A key aspect of the design of evolutionary and swarm intelligence algorithms is studying their performance. Statistical comparisons are also a crucial part which allows for reliable conclusions to be drawn. In the present paper we gather and examine the approaches taken from different perspectives to summarise the assumptions made by these statistical tests, the conclusions reached and the steps followed to perform them correctly. In this paper, we conduct a survey on the current trends of the proposals of statistical analyses for the comparison of algorithms of computational intelligence and include a description of the statistical background of these tests. We illustrate the use of the most common tests in the context of the Competition on single objective real parameter optimisation of the IEEE Congress on Evolutionary Computation (CEC) 2017 and describe the main advantages and drawbacks of the use of each kind of test and put forward some recommendations concerning their use.
author_names: Jacinto Carrasco

Salvador Garc'ia

Maria del Mar Rueda

S Das

F Herrera
title: Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
venue: Swarm Evol. Comput.
year: 2020

abstract: Rapid and timely monitoring of traumatic inflammation is conducive to doctors' diagnosis and treatment. It has been proved that electronic nose (E nose) is an effective way to predict the bacterial classes of wound infection by smelling the odor produced by the metabolites, and it has also been found thatthe classification accuracy of E nose is very different when different feature is extracted and put into the classifier. The gas sensor array of E nose can be seen as a dynamic system whose response temporally evolves following the concentration of the odors. As the central concept in the analysis of dynamic systems, phase space is the first time to be employed by us to construct the feature matrix of wound infection data in this paper. Dynamic moments, the functions of time delay in phase space, is used as the feature of wound infection. The odors of four different classes of wound (wound uninfected, and infected withP. aeruginosa, E. coliandS. aureus) are used as the original response of Enose.Experimental results prove that the classification accuracy of test data set is 96.43% when R2 is used as the feature, which is much better than M2P, M3P (other two dynamic moments) maximum value of the steady state response and maximum value of the first order derivative (two traditional feature of E nose) Keywords Wound infection; Electronic nose; Phase space; Dynamic moments __________________________________________________**_________________________________________________
author_names: Ru-Yi Luo

Pengfei Jia
title: International Journal on Recent and Innovation Trends in Computing and Communication
year: 2017

abstract: The majority of the existing research regarding mobile learning in computing education has primarily focused on studying the effectiveness of, and in some cases reporting about, implemented mobile learning solutions. However, it is equally important to explore development and application perspectives on the integration of mobile learning into computing education and identify practical implications for learning and teaching practices. In this study, the authors performed a systematic review of scientific publications related to mobile learning in computing education. After identifying relevant publications, they analysed them from three main aspects: technology and development, design of mobile learning solutions and applications, and implications for learning. The authors' study reveals that mobile learning in computing education has the potential to increase several affective traits of learners. In addition, mobile learning in computing education has matured enough to be mainly concerned with the mainstreaming of the computing curriculum rather than basic research.
author_names: Ebenezer Anohah

Solomon Sunday Oyelere

Jarkko Suhonen
title: Trends of Mobile Learning in Computing Education from 2006 to 2014: A Systematic Review of Research Publications
venue: Int. J. Mob. Blended Learn.
year: 2017

abstract: Brilliant ICUs are systems of varying media correspondence and PC frameworks that connection basic care specialists and medical caretakers (intensivists) to escalated mind units (ICUs) in other, remote doctor's facilities. The intensivists in the "war room" can impart by voice with the remote ICU staff and can get video correspondence and clinical information about the patients. Coordinate patient care is given by the specialists and medical attendants in the remote ICU who don't need to be intensivists themselves. As of late there has been an expansion in the quantity of patients requiring ICU mind without a relating increment in the supply of intensivists. Keen ICUs can be a significant asset for healing centers looked with the need to extend limit and enhance tend to a developing elderly populace. Proof from some early adopter healing centers demonstrates that it can use administration of patient care by intensivists, decrease death rates, and diminish LOS. In any case, positive results seem to rely upon the hierarchical condition into which the Smart ICU is presented. The emotional upgrades in mortality and LOS detailed by some early adopter doctor's facilities have not been coordinated in most. The constrained research accessible recommends that the best results may happen in ICUs that: Can make authoritative game plans to help the administration of patient care by intensivists utilizing Smart ICU; Have almost no intensivist staff accessible to them without Smart ICU; Have moderately high seriousness balanced mortality and LOS rates; Are situated in remote or provincial zones where protected and productive exchange of patients to local communities for cutting edge basic care presents challenges. Keen ICU interfaces a headquarters focus staffed by intensivists with patients in far off ICUs. Persistent, continuous sound, video, and electronic reports of imperative signs interface the war room to the patients' bedsides. PC oversaw choice emotionally supportive networks track every patient's status and give alarms when negative patterns are identified and when changes in treatment designs are planned. The patient information incorporate physiological status (e.g. ECG and blood oxygenation) treatment (e.g. the implantation rate for a particular prescription or the settings on a respirator) and medicinal records. Keywords Internet of Things, industrial applications, microcontroller, Smart ICU, personal computer. __________________________________________________**_________________________________________________
author_names: Anisha Chettri

IIYear PGStudent

Cynthia Marquardt

Michael Breslow
title: International Journal on Recent and Innovation Trends in Computing and Communication
year: 2018

abstract: In this paper, image data acquisition system has been introduced. In this task, a system of high speed image data acquisition based on ARM and FPGA is designed according to the needs of actual system in image data transmission, which can be used in data monitoring and surveillance systems. The choice of ARM is a 32 bit embedded RISC microprocessor architecture, which has a rich instruction set and programming flexibility. FPGA has a great advantage in the speed and parallel computing, suitable for real time requirements of image processing. The interface between camera module and FPGA as well as interface between FPGA and ARM is done using UART. Image from ARM is transmitted to PC using Ethernet. KeywordsCamera module, FPGA, ARM, Ethernet, UART __________________________________________________**_________________________________________________
author_names: Ms S R Lad
title: International Journal on Recent and Innovation Trends in Computing and Communication
year: 2017

abstract: The teaching of computing is becoming an essential addition to twenty first century learning. An important part of this new addition is the teaching of computing in earlier grades, starting as early as kindergarten in some countries. Yet, there is little research that reports on computing practices in earlier grades. The purpose of this study was to paint a broad picture of the teaching of computing in primary education from teachers' perspectives through a 20 min snowball survey sent out to elementary computing groups. This study reports on the teaching of over 300 teachers who are responsible for teaching computing to nearly 60,000 primary aged students. The results principally represented teachers in the US and the UK, though smaller samples of teachers from 23 total countries are included. We report on teachers' responses by analyzing quantitative data and open ended responses to questions about their experiences in teaching computing to children. Results highlight teachers' level of preparation to teach computing, the most commonly taught programming languages, teacher successes and challenges, and observations on how learning to program has affected students.
author_names: Peter J Rich

Samuel Frank Browning

McKay Perkins

Timothy Shoop

Emily Yoshikawa

Olga Belikov
title: Coding in K 8: International Trends in Teaching Elementary/Primary Computing
year: 2019

abstract: Future educational technology there will be new issues, applications, teacherlearner paradigms and perspectives that will have a powerful effect in the teaching and learning process such as mobile devices, MOOCS, computer based assessment applications, teacher training methods and else that will lead to different applications and even philosophies of how educators understand or use technology. The primary issue is the applicability of different devices whether software or hardware. The second, is the accessibility which is also changing what is being taught giving ground to information, knowledge or common contents that in turn shape from the general idea of education to the daily lesson. The third is the user's training and interaction (for teachers and learners) The fact that teachers and learners can access now new materials and activities will provide educational opportunities for those who have been traditionally had positive access to education as well as those who have not. Thus technology currently will serve to build bridges to link cultures and enhance educational enriching experiences.
author_names: Jesus Garcia Laborda

Huseyin Uzunboylu

Steven Ross
title: Future Trends in Computing Technology in Education
venue: J. Univers. Comput. Sci.
year: 2016

abstract: Computing information intelligence is considered an extremely important asset to any organization. Techniques are set of management disciplines with the help of computing information that allow organizations to manage their technological fundamentals to create competitive business advantage. Computing information intelligence includes integrated planning, design, optimization, operation, and control of technological products, processes, and services: a better definition would be the management of the use of intelligence for human advantage. Information and computing intelligence sciences employ new technologies to solve client problems through contract research. To address the problems a lot of research efforts are still needed from both academia and industry. This special issue aims to promote research in the area of computing information intelligence in present business scenario. The article entitled "Information Retrieval and Graph Analysis Approaches for Book Recommendation" proposed a combination of multiple information retrieval approaches for the purpose of book recommendation. Different theoretical retrieval models, probabilistic as InL2 (divergence from randomness model) and language model, are used and we tested their interpolated combination. Graph analysis algorithms such as PageRank have been successful in Web environments. We consider the application of this algorithm in a new retrieval approach to related document network comprised of social links. A series of reranking experiments demonstrate that combining retrieval models yields significant improvements in terms of standard ranked retrieval metrics. The article entitled "Distilling Big Data: Refining Quality Information in the Era of Yottabytes" targets the utilization of the Fuzzy Bayesian process model to improve the quality of information in Big Data. The article entitled "Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts" describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS) to support parents in drafting an agreement (the parenting plan) for the exercise of parental custody of minor children after a divorce is granted. In the article entitled "Priority Based Congestion Control Dynamic Clustering Protocol in Mobile Wireless Sensor Networks," in order to conserve energy and to avoid congestion during multiclass traffic a novel Priority Based Congestion Control Dynamic Clustering (PCCDC) protocol is developed. Simulation results have proven that packet drop, control overhead, and end to end delay are much lower in PCCDC which in turn significantly increases packet delivery ratio, network lifetime, and residual energy when compared with PASCC protocol. The article entitled "Predicting Defects Using Information Intelligence Process Models in the Software Technology Project" gave the practical applicability of using predictive models and illustrated the use of these models in a project to predict system testing defects, thus helping to reduce residual defects. The article entitled "Scalable Clustering of High Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence" has been developed to cluster data using high dimensional similarity based PCM (SPCM) with ant colony optimization intelligence which is effective in clustering nonspatial data without getting knowledge about cluster number from the user. The mountain method is applied for searching approximate centers in the cluster, where the maximum density clusters are located. Though this is efficient clustering, it is checked for optimization using ant colony algorithm with swarm intelligence. Thus, the scalable clustering technique is obtained and the evaluation results are checked with synthetic datasets. In the article titled "Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method" personnel evaluation is an important process in human resource management; a fuzzy hybrid multicriteria decision making (MCDM) model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method. The article entitled "Traffic and Driving Simulator Based on Architecture of Interactive Motion" proposes an architecture for an interactive motion based traffic simulation environment. The architecture has been designed to enable the simulation of the entire network; as a result, the actual driver, pedestrian, and bike rider can navigate anywhere in the system. The two traffic flow simulation models interact continuously to update system conditions based on the interactions between actual humans and the fully simulated entities. The implementation of the proposed architecture faces significant challenges ranging from multiplatform and multilanguage integration to multievent communication and coordination. The article entitled "Proactive Alleviation Procedure to Handle Black Hole Attack and Its Version" proposed an alleviation procedure which consists of timely mandate procedure, hole detection algorithm, and sensitive guard procedure to detect the maliciously behaving nodes. It has been observed that the proposed procedure is cost effective and ensures QoS guarantee by assuring resource availability, thus making the MANET appropriate for Internet of Things. Overall, this special issue brought together state of the art research contributions, tutorials, and position papers that address the key aspects of computing information intelligence towards the recent trends and techniques. Venkatesh Jaganathan Balasubramanie Palanisamy Mariofanna Milanova
author_names: Venkatesh Jaganathan

Balasubramanie Palanisamy

Mariofanna G Milanova
title: Recent Trends and Techniques in Computing Information Intelligence
venue: TheScientificWorldJournal
year: 2016