scholarly journals A Modified Jellyfish Search Optimizer with Opposition Based Learning and Biased Passive Swarm Motion

2021 ◽  
Vol 26 (6) ◽  
pp. 577-584
Author(s):  
Jitendra Rajpurohit
Keyword(s):  
Design Optimization ◽  
Real World ◽  
Structure Design ◽  
Fast Convergence ◽  
Truss Structure ◽  
Initial Population ◽  
The Real ◽  
Opposition Based Learning ◽  
Real World Problem ◽  
Better Than

Jellyfish Search Optimizer (JSO) is one of the latest nature inspired optimization algorithms. This paper aims to improve the convergence speed of the algorithm. For the purpose, it identifies two modifications to form a proposed variant. First, it proposes improvement of initial population using Opposition based Learning (OBL). Then it introduces a probability-based replacement of passive swarm motion into moves biased towards the global best. OBL enables the algorithm to start with an improved set of population. Biased moves towards global best improve the exploitation capability of the algorithm. The proposed variant has been tested over 30 benchmark functions and the real world problem of 10-bar truss structure design optimization. The proposed variant has also been compared with other algorithms from the literature for the 10-bar truss structure design. The results show that the proposed variant provides fast convergence for benchmark functions and accuracy better than many algorithms for truss structure design.

Isoperformance: A Methodology for Human Factors Engineering Design

1986 ◽  
Vol 30 (14) ◽  
pp. 1403-1404
Author(s):  
Marshall B. Jones ◽  
Robert S. Kennedy ◽  
Janet J. Turnage
Keyword(s):  
Engineering Design ◽  
Performance Measures ◽  
Real World ◽  
Environmental Conditions ◽  
Expert Judgment ◽  
Human Factors Engineering ◽  
Applied Psychology ◽  
The Real ◽  
Real World Problem ◽  
Better Than

The literature of applied psychology rarely, if ever, allows an unambiguous answer to a particular problem. Almost always there is a hiatus between what is known and what one wants to know. If the tasks are the same, personnel, performance measures, temporal relations or environmental conditions are different. Oftentimes nothing is quite the same as what has been studied in the literature. Inevitably, these gaps are closed by “expert judgment.” People who are experienced in the field extrapolate from what has been studied to the real-world case in hand. This inevitability is not, however, the end of the matter. Expert judgment can be utilized in many different ways and some ways are better than others. The principal issues are: precisely what are the experts to be asked, how is their consensus to be determined, and how is that consensus to be used relative to the real-world problem in hand. This discussion will describe one way of answering these questions. It is called “isoperformance.” The key feature of this approach is the design of an “ideal experiment.” This experiment then functions as a framework for both what is known in the literature and expert judgment.

Authorship analysis of aliases: Does topic influence accuracy?

2013 ◽  
Vol 21 (4) ◽  
pp. 497-518 ◽  
Author(s):  
ROBERT LAYTON ◽  
PAUL A. WATTERS ◽  
RICHARD DAZELEY
Keyword(s):  
Real World ◽  
Training Data ◽  
Experimental Comparison ◽  
Matching Problem ◽  
The Real ◽  
Real World Problem ◽  
Online Environments ◽  
Authorship Analysis ◽  
Better Than

AbstractAliasesplay an important role in online environments by facilitating anonymity, but also can be used to hide the identity of cybercriminals. Previous studies have investigated this alias matching problem in an attempt to identify whether two aliases are shared by an author, which can assist with identifying users. Those studies create their training data by randomly splitting the documents associated with an alias into two sub-aliases. Models have been built that can regularly achieve over 90% accuracy for recovering the linkage between these ‘random sub-aliases’. In this paper, random sub-alias generation is shown to enable these high accuracies, and thus does not adequately model the real-world problem. In contrast, creating sub-aliases using topic-based splitting drastically reduces the accuracy of all authorship methods tested. We then present a methodology that can be performed on non-topic controlled datasets, to produce topic-based sub-aliases that are more difficult to match. Finally, we present an experimental comparison between many authorship methods to see which methods better match aliases under these conditions, finding that localn-gram methods perform better than others.

scholarly journals Pesantren Dan Pendidikan Politik Di Indonesia: Sebuah Reformulasi Kepemimpinan Islam Futuristik

2016 ◽  
Vol 16 (2) ◽  
pp. 461
Author(s):  
Mukodi Mukodi
Keyword(s):  
Real World ◽  
Life Skills ◽  
Boarding School ◽  
Political Awareness ◽  
The Real ◽  
Real World Problem ◽  
Agent Of Change ◽  
As If

Abstract: There is an increasing concern as if discussing politics in pesantren (Islamic Boarding School) was uncommon. This oddity is due to the conception of a person who puts pesantren merely a decontextualised scholarly reproduction of an-sich (from the real world problem or real politics) and not as an agent of change. In fact, pesantren is a replica of life integrating various life skills, including politics. The most interesting finding was that the diverse activities of life in the boarding school had raised the seedling of students’ political sense. This article also recommends the presence of political boarding school establishment, as a political incubator for Islamic activists as the continuity of conditioning political awareness in pesantren. Its realization is believed to be able to trigger the acceleration of the Islamic ideal leader candidate in Indonesia.

scholarly journals Learning Outcome-Based Teaching of Power Electronics and Electric Machines Hybrid Laboratory Using ABAL Method

2021 ◽  
Author(s):  
Umair Safdar ◽  
Yaqoob Javed ◽  
Subhan Khan ◽  
Mujtaba Hussain Jeffery ◽  
Noman Naeem
Keyword(s):  
Active Learning ◽  
Student Satisfaction ◽  
Power Electronics ◽  
Undergraduate Students ◽  
Real World ◽  
Electric Machines ◽  
Experimental Methodology ◽  
The Real ◽  
Real World Problem ◽  
Selection Of

This paper presents an Application Based Active Learning (ABAL) methodology on Power Electronics (PE) and Electric Machines (EM) as a hybrid laboratory course for the undergraduate students to design and implement the real-world engineering problems. The ABAL is a type of active learning which is a branch of Learner-centered teaching (LCT). The DC/DC converter along with the speed control of DC separately excites the motor. In addition, a DC/AC converter is designed to control the speed of an induction motor. The results are then investigated on a hardware platform under the ABAL experimental methodology. This paper also discusses the problem identification selection of the equipment, circuit design, hardware mounting and critical analysis of the results acquired from the hybrid laboratory. The ABAL methodology was evaluated based on student satisfaction, feedback, grades and interest to solve the real-world problem rather than cramming the engineering concepts and fulfill so-called lab routine and tasks

Marketing Communication Menggunakan Augmented Reality pada Mobile Platform

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Julio Cristian Young
Keyword(s):  
Augmented Reality ◽  
Real World ◽  
Virtual World ◽  
Mobile Platform ◽  
Marketing Communication ◽  
Process Data ◽  
The Real ◽  
Graphical Data ◽  
Better Than

Augmented Reality is a technology that can project objects from the virtual world to the real world. Augmented Reality continues to be developed so it can be easy to implement into various devices. However, the device must have a camera, VGA card, and the ability to process data that is high enough to be able to process and projecting graphical data that captured by the camera and displayed to the screen. Marker-based Augmented Reality is still better than Markerless Augmented Reality due to several issues such as disturbances in the geomagnetic sensor that is used to map the Y axis and Z device that belongs to the user.

scholarly journals Real-World Performance of Longitudinal Barriers Struck by Large Trucks

2012 ◽  
Vol 2309 (1) ◽  
pp. 127-134 ◽  
Author(s):  
Douglas J. Gabauer
Keyword(s):  
Real World ◽  
Reporting System ◽  
Penetration Rate ◽  
Heavy Vehicles ◽  
The Real ◽  
Impact Performance ◽  
Passenger Vehicles ◽  
Road Users ◽  
The Impact ◽  
Better Than

Very little is known about the real-world performance of traffic barriers when subjected to impacts by large trucks. This study investigated real-world impacts of large trucks into traffic barriers to determine barrier crash involvement rates, the impact performance of barriers not specifically designed to redirect large trucks, and the real-world performance of barriers specifically designed for large trucks. Data sources included the Fatality Analysis Reporting System (2000 to 2009), the General Estimates System (2000 to 2009), and the Large Truck Crash Causation Study (155 in-depth crashes of large trucks into barriers). Impacts of large trucks into longitudinal barriers constituted 3% of all police-reported impacts into longitudinal barriers and roughly the same proportion of barrier fatalities. A logistic regression model predicting barrier penetration showed that the risk of a large truck penetrating a barrier increased by a factor of 6 for impacts with barriers designed primarily for passenger vehicles. Although barriers specifically designed for impacts by large trucks performed better than barriers not specifically designed for impacts by heavy vehicles, the penetration rate of the former was 17%. This penetration rate is of concern, because barriers used for higher test levels are designed to protect other road users, not the occupants of large trucks. Barriers not specifically designed for impacts by large trucks prevented penetration by a large truck approximately half the time. This finding suggests that adding costlier barriers that meet higher test levels may not always be warranted, especially on roadways with lower truck volumes.

scholarly journals For Real! XCS with Continuous-Valued Inputs

2003 ◽  
Vol 11 (3) ◽  
pp. 299-336 ◽  
Author(s):  
Christopher Stone ◽  
Larry Bull
Keyword(s):  
Real World ◽  
Sampling Bias ◽  
Learning Classifier Systems ◽  
Classifier Systems ◽  
Learning Classifier System ◽  
System Architectures ◽  
The Real ◽  
Learning Classifier ◽  
Real World Problem ◽  
Associated Operators

Many real-world problems are not conveniently expressed using the ternary representation typically used by Learning Classifier Systems and for such problems an interval-based representation is preferable. We analyse two interval-based representations recently proposed for XCS, together with their associated operators and find evidence of considerable representational and operator bias. We propose a new interval-based representation that is more straightforward than the previous ones and analyse its bias. The representations presented and their analysis are also applicable to other Learning Classifier System architectures. We discuss limitations of the real multiplexer problem, a benchmark problem used for Learning Classifier Systems that have a continuous-valued representation, and propose a new test problem, the checkerboard problem, that matches many classes of real-world problem more closely than the real multiplexer. Representations and operators are compared using both the real multiplexer and checkerboard problems and we find that representational, operator and sampling bias all affect the performance of XCS in continuous-valued environments.

scholarly journals Normalization based Multi-Criteria Collaborative Filtering Approach for Recommendation System

Rekayasa ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 234-239
Author(s):  
Noor Ifada ◽  
Nur Fitriani Dwi Putri ◽  
Mochammad Kautsar Sophan
Keyword(s):  
Collaborative Filtering ◽  
Real World ◽  
Method Development ◽  
Recommendation System ◽  
Rating Data ◽  
The Real ◽  
Rating Prediction ◽  
Filtering Approach ◽  
Better Than

A multi-criteria collaborative filtering recommendation system allows its users to rate items based on several criteria. Users instinctively have different tendencies in rating items that some of them are quite generous while others tend to be pretty stingy.  Given the diverse rating patterns, implementing a normalization technique in the system is beneficial to reveal the latent relationship within the multi-criteria rating data. This paper analyses and compares the performances of two methods that implement the normalization based multi-criteria collaborative filtering approach. The framework of the method development consists of three main processes, i.e.: multi-criteria rating representation, multi-criteria rating normalization, and rating prediction using a multi-criteria collaborative filtering approach. The developed methods are labelled based on the implemented normalization technique and multi-criteria collaborative filtering approaches, i.e., Decoupling normalization and Multi-Criteria User-based approach (DMCUser) and Decoupling normalization and Multi-Criteria User-based approach (DMCItem). Experiment results using the real-world Yelp Dataset show that DMCItem outperforms DMCUser at most  in terms of Precision and Normalized Discounted Cumulative Gain (NDCG). Though DMCUser can perform better than DMCItem at large , it is still more practical to implement DMCItem rather than DMCUser in a multi-criteria recommendation system since users tend to show more interest to items at the top list.

Beyond Griefing

2010 ◽  
pp. 183-197
Author(s):  
Angela Adrian
Keyword(s):  
Criminal Law ◽  
Virtual Worlds ◽  
Real World ◽  
Criminal Activity ◽  
The Real ◽  
The Law ◽  
Set Up ◽  
Rules Of The Game ◽  
Better Than

Because there is so much money involved in virtual worlds these days, there has been an increase in criminal activity in these worlds as well. The gaming community calls people who promote conflict “griefers”. Griefers are people who like nothing better than to kill team-mates or obstruct the game’s objectives. Griefers scam, cheat and abuse. Recently, the have begun to set up Ponzi schemes. In games that attempt to encourage complex and enduring interactions among thousands of players, “griefing” has evolved from being an isolated nuisance to a social disease. Much in the same way crime has become the real world’s social disease. Grief is turning into crime. Some consider virtual worlds to be a game and therefore outside the realms of real law and merely subject to the rules of the game. However, some virtual worlds have become an increasingly important as a method of commerce and means of communication. In most circumstance the law is reluctant to intrude into the rules of the game, but it will do if necessary. (Lastowka & Hunter, 2004) Criminal law applies in virtual worlds as it does in the real world, but not necessarily in the manner that a player would expect or want. The law looks at the real consequences of actions, not the on-screen representations. (Kennedy, 2009)

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