scholarly journals A New Dual-Mode GEP Prediction Algorithm Based on Irregularity and Similar Period

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lei Yang ◽  
Zexin Xu ◽  
Rui Xu ◽  
Jianfan Lu ◽  
Zhenlin Xu ◽  
...  
Keyword(s):  
Gene Expression Programming ◽  
Prediction Algorithm ◽  
Local Optimum ◽  
Observation Data ◽  
Process Data ◽  
Dual Mode ◽  
Convergence Results ◽  
Neural Network Prediction ◽  
The Individual ◽  
Search Domain

Gene expression programming (GEP) uses simple linear coding to solve complex modeling problems. However, the performance is limited by the effectiveness of the selected method of evaluating population individuals, the breadth and depth of the search domain for the solution, and the ability of accuracy of correcting the solution based on historical data. Therefore, a new dual-mode GEP prediction algorithm based on irregularity and similar period is proposed. It takes measures to specialize origin data to reserve the elite individuals, reevaluate the target individuals, and process data and solutions via the similar period mode, which avoids the tendency to get stuck in local optimum and the complexity of the precisions of correcting complex modeling problems due to insufficiency scope of the search domain, and subsequently, better convergence results are obtained. If we take the leek price and the sunspot observation data as the sample to compare the new algorithm with the GEP simulation test, the results indicate that the new algorithm possesses more powerful exploration ability and higher precision. Under the same accuracy requirements, the new algorithm can find the individual faster. Additionally, the conclusion can be drawn that the performance of new algorithm is better on the condition that we take another set of sunspot observations as samples, combining the ARIMA algorithm and BP neural network prediction algorithm for simulation and comparison with the new algorithm.

Peningkatan Aktivitas Dan Hasil Belajar Bahasa Indonesia Pada Materi Teks Eksposisi Melalui Model Contextual Teaching And Learning (CTL) Siswa Kelas X IS 3 SMAN 4 Banda Aceh

2020 ◽  
Vol 1 (3) ◽  
pp. 289-298
Author(s):  
Yuslina Yuslina
Keyword(s):  
Language Learning ◽  
Student Learning ◽  
Teaching And Learning ◽  
Learning Model ◽  
Observation Data ◽  
Process Data ◽  
School Year ◽  
Data Collection Technique ◽  
Written Test ◽  
Banda Aceh

he purpose of this study was to increase the activities and results of Indonesian language learning in the exposition text material of class X IS 3 SMAN 4 Banda Aceh. The learning model used in this study is the CTL learning model. The subjects of this study were students of class X IS 3 SMAN 4 Banda Aceh. The number of students is 35 students with 16 male students and 19 female students. This research was conducted in the 2019/2020 school year for a period of 3 months, from August 2019 to October 2019 in the odd semester. The research methodology is Classroom Action Research (PTK) consisting of two cy-cles and each cycle consisting of two meetings. Each cycle consists of planning, implementing, observ-ing and reflecting. The data collection technique is to collect test scores that are carried out at the end of each lesson in each cycle using a question instrument (written test). Observation data was carried out by looking at the activeness of students in the learning process. Data were analyzed by means of percentage statistics. The results showed that there was an increase in student learning activities in both cycles, from good enough to good categories and to very good categories. Completeness of student learning outcomes has increased from 48.57% in the pre cycle increased to 68.57% in cycle I and increased to 88.57% in cycle II. The use of the CTL learning model can increase the activities and results of Indone-sian language learning in the exposition text material of class X IS 3 SMAN 4 Banda Aceh Academic Year 2019/2020

scholarly journals PENGARUH KARAKTERISTIK INDIVIDU DAN LINGKUNGAN KERJA NON FISIK TERHADAP KINERJA KARYAWAN DEPARTEMEN PARTS PT TRAKINDO UTAMA CABANG SAMARINDA

2020 ◽  
Vol 8 (4) ◽  
pp. 345
Author(s):  
Juliana Juliana
Keyword(s):  
Work Environment ◽  
Employee Performance ◽  
Secondary Data ◽  
Individual Characteristics ◽  
Individual Characteristic ◽  
Primary Data ◽  
Physical Work ◽  
Observation Data ◽  
Physical Work Environment ◽  
The Individual

Individual characteristics and work environment are considered as crucial aspects for companies that want to improve their employees’ performance. PT Trakindo Utama specifically Samarinda branch is one of many branches of PT Trakindo Utama in Indonesia, which become the sole agent of Caterpillar products in Indonesia. Caterpillar itself is the world's leading manufacturer of heavy equipment originally from USA. This research aims to determine the influence of characteristics and non-physical work environment of the employee performance in parts Department at PT Trakindo Utama Samarinda branch. The individual characteristics (x1) and non-physical work environment (x2) are used as independent variables while the performance of employees (Y) as dependent variable. Primary data is obtained by conducting interviews to 34 respondents by using questionnaires while secondary data is obtained by conducting field observation. Data analysis uses a double linear regression technique by using SPSS 22 software. The results show that the individual characteristic variables does not have any partial effect toward the performance of the employees of Parts Department PT Trakindo Utama Cabang Samarinda branch and individual characteristic variables (X1) and non-physical work environment (x2) are simultaneously influential in the performance of the Employees (Y) Parts Department at PT trakindo Utama, Samarinda branch.  Suggestions for PT Trakindo Utama Samarinda Branch, the company should hold a family gathering in order to improve not only for each employees relations but also with bosses to stay awake, provide suggestions and evaluate employee work which can effectively improve employee performance, manage the best possible time so that the job can be completed on time.

Investigation of direct solar proton impact on Arctic stratospheric ozone

2021 ◽  
Author(s):  
Jia Jia ◽  
Antti Kero ◽  
Niilo Kalakoski ◽  
Monika E. Szeląg ◽  
Pekka T. Verronen
Keyword(s):  
Climate Model ◽  
Model Simulation ◽  
Stratospheric Ozone ◽  
Individual Case ◽  
Solar Proton ◽  
Observation Data ◽  
Ozone Level ◽  
Superposed Epoch Analysis ◽  
Average Decrease ◽  
The Individual

<p>Recent studies reported up to a 10 % average decrease of lower stratospheric ozone at ∼ 20 km altitude following solar proton events (SPEs), based on superposed epoch analysis (SEA) of ozonesonde anomalies. Our study uses 49 SPEs that occurred after the launch of Aura MLS (2004–now) and 177 SPEs that occurred in the WACCM-D (Whole Atmosphere Community Climate Model with D-region ion chemistry) simulation period (1989–2012) to evaluate Arctic polar atmospheric ozone changes following SPEs. At the mesospheric altitudes a statistically significant ozone depletion is present. At the lower stratosphere (<25 km), SEA of the satellite dataset provides no solid evidence of any average direct SPE impact on ozone. In the individual case studies, we find only one potential case (January 2005) in which the lower-stratospheric ozone level was significantly decreased after the SPE onset (in both model simulation and MLS observation data). However, similar decreases could not be identified in other SPEs of similar or larger magnitude. We find a very good overall consistency between WACCM-D simulations and MLS observations of SPE-driven ozone anomalies both on average and for the individual cases, including case in January 2005.</p>

A Quantitative Analysis and Qualitative Explanation of the Individual Differences in Affective Responses to Prescribed and Self-Selected Exercise Intensities

2007 ◽  
Vol 29 (3) ◽  
pp. 281-309 ◽  
Author(s):  
Elaine A. Rose ◽  
Gaynor Parfitt
Keyword(s):  
Individual Differences ◽  
Mixed Method ◽  
Lactate Threshold ◽  
Treadmill Exercise ◽  
Affective Response ◽  
Affective Responses ◽  
Affective Valence ◽  
Dual Mode ◽  
The Individual ◽  
Method Approach

Using a mixed-method approach, the aim of this study was to explore affective responses to exercise at intensities below-lactate threshold (LT), at-LT, and above-LT to test the proposals of the dual-mode model (Ekkekakis, 2003). These intensities were also contrasted with a self-selected intensity. Further, the factors that influenced the generation of those affective responses were explored. Nineteen women completed 20 min of treadmill exercise at each intensity. Affective valence and activation were measured, pre-, during and postexercise. Afterward, participants were asked why they had felt the way they had during each intensity. Results supported hypotheses showing affect to be least positive during the above-LT condition and most positive during the self-selected and below-LT conditions. Individual differences were greatest in the below-LT and at-LT conditions. Qualitative results showed that factors relating to perceptions of ability, interpretation of exercise intensity, exercise outcomes, focus of concentration, and perceptions of control influenced the affective response and contributed to the individual differences shown in the quantitative data.

scholarly journals The Austrian Corona Panel Project: monitoring individual and societal dynamics amidst the COVID-19 crisis

2020 ◽  
Author(s):  
Bernhard Kittel ◽  
Sylvia Kritzinger ◽  
Hajo Boomgaarden ◽  
Barbara Prainsack ◽  
Jakob-Moritz Eberl ◽  
...  
Keyword(s):  
Data Access ◽  
Economic Consequences ◽  
Process Data ◽  
Data Set ◽  
Domain Specific ◽  
Data Collection Process ◽  
The Social ◽  
The Individual ◽  
Austrian Population ◽  
Societal Dynamics

Abstract Systematic and openly accessible data are vital to the scientific understanding of the social, political, and economic consequences of the COVID-19 pandemic. This article introduces the Austrian Corona Panel Project (ACPP), which has generated a unique, publicly available data set from late March 2020 onwards. ACPP has been designed to capture the social, political, and economic impact of the COVID-19 crisis on the Austrian population on a weekly basis. The thematic scope of the study covers several core dimensions related to the individual and societal impact of the COVID-19 crisis. The panel survey has a sample size of approximately 1500 respondents per wave. It contains questions that are asked every week, complemented by domain-specific modules to explore specific topics in more detail. The article presents details on the data collection process, data quality, the potential for analysis, and the modalities of data access pertaining to the first ten waves of the study.

Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model

2020 ◽  
Author(s):  
Juan Li ◽  
Dan-dan Xiao ◽  
Ting Zhang ◽  
Chun Liu ◽  
Yuan-xiang Li ◽  
...  
Keyword(s):  
Search Algorithm ◽  
Size Control ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Local Optimum ◽  
Step Size ◽  
Q Learning ◽  
Fitness Value ◽  
The Individual ◽  
Evolution Effect

Abstract As a novel swarm intelligence optimization algorithm, cuckoo search (CS) has been successfully applied to solve diverse problems in the real world. Despite its efficiency and wide use, CS has some disadvantages, such as premature convergence, easy to fall into local optimum and poor balance between exploitation and exploration. In order to improve the optimization performance of the CS algorithm, a new CS extension with multi-swarms and Q-Learning namely MP-QL-CS is proposed. The step size strategy of the CS algorithm is that an individual fitness value is examined based on a one-step evolution effect of an individual instead of evaluating the step size from the multi-step evolution effect. In the MP-QL-CS algorithm, a step size control strategy is considered as action, which is used to examine the individual multi-stepping evolution effect and learn the individual optimal step size by calculating the Q function value. In this way, the MP-QL-CS algorithm can increase the adaptability of individual evolution, and a good balance between diversity and intensification can be achieved. Comparing the MP-QL-CS algorithm with various CS algorithms, variants of differential evolution (DE) and improved particle swarm optimization (PSO) algorithms, the results demonstrate that the MP-QL-CS algorithm is a competitive swarm algorithm.

COST CALCULATION IN PREFABRICATED TIMBER CONSTRUCTION: METHODOLOGY OF ASSESSMENT AND GENERAL REQUIREMENTS

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Dieter Schlagbauer ◽  
Joerg Koppelhuber ◽  
Detlef Heck
Keyword(s):  
Mean Value ◽  
General Level ◽  
Cost Calculation ◽  
Observation Data ◽  
Distribution Analysis ◽  
Construction Operations ◽  
Cost Calculations ◽  
The Individual ◽  
High Level ◽  
Cost Parameters

Cost calculations within the construction industry can be performed at various levels of detail. Starting at a very general level using component-dependent cost parameters (eg: cost per cubic meter of gross volume [€/m]) the calculation can be done in the most detailed method by evaluation the individual cost components (material, equipment and labor) separately for every single task. For the traditional construction operations like masonry or concreting works a lot of information is provided to determine the performance values within a close range. For the field of cross laminated timber (CLT) constructions these substantially basics are not well established yet. The actual calculations are often based on in-house knowledge of timber companies without cross company references. To enhance the calculation basics a modified REFA analysis method (REFA 1984, Schlagbauer, Heck and Hofmann 2011) was conducted to collect on site observation data. The results of the task distribution analysis showed very similar results compared to other construction works on the level activities and interruptions with a mean value of approximately 75 % activities. But at a closer look greater deviations were found as main CLT-tasks have a value of 59% compared to masonry work (38%) or concreting work (51%). This bigger share of main activities within CLT works can especially explained by the high level of prefabrication work but has to be considered within the calculation.

Do care patterns change over time in a newly established mental health service? A report from the UK700 trial

2006 ◽  
Vol 21 (5) ◽  
pp. 300-306 ◽  
Author(s):  
M. Fiander ◽  
T. Burns ◽  
O.C. Ukoumunne ◽  
T. Fahy ◽  
F. Creed ◽  
...  
Keyword(s):  
Mental Health ◽  
Care Delivery ◽  
Derived Categories ◽  
Process Data ◽  
Mean Values ◽  
Care Patterns ◽  
Individualised Care ◽  
The Individual ◽  
Changes Over Time ◽  
Over Time

AbstractPurpose.Data on the process of mental health care is scant. Most studies focus on services at their inception when activity may be atypical and then usually present data only mean values for the reported variables over the whole study period. We aimed to test whether care delivery changes over time, and to describe any changes at the individual patient and team levels.Methods.Process data on 272 patients in three new intensive case management (ICM) teams were collected over 2 years. Interventions were prospectively recorded using clinician-derived categories. Changes over time are described at both patient and team level.Results.The number of contacts and the proportion of face-to-face activity were remarkably constant after the first month at the patient level. The proportion of ‘psychiatric’ interventions (main focus on medication or a specific ‘mental health’ intervention performed) increased greatly after the first 6 months. The care activity received by individual patients varied considerably. Overall, teams varied significantly in the extent to which their activity rates were sustained over time.Conclusions.New ICM teams deliver highly individualised care with more marked differences in treatment patterns between patients in the same team than mean differences between teams. The early ‘engagement’ period is marked by a greater focus on social care. There is evidence of differences in sustainability of the services by site.

A Filter-Based Evolutionary Algorithm for Constrained Optimization

2005 ◽  
Vol 13 (3) ◽  
pp. 329-352 ◽  
Author(s):  
Lauren Clevenger ◽  
Lauren Ferguson ◽  
William E. Hart
Keyword(s):  
Constrained Optimization ◽  
Evolutionary Algorithm ◽  
Nonlinear Problems ◽  
Pattern Search ◽  
Solution Set ◽  
Local Optimum ◽  
Partially Ordered ◽  
Convergence Results ◽  
Pattern Search Methods ◽  
Linear And Nonlinear

We introduce a filter-based evolutionary algorithm (FEA) for constrained optimization. The filter used by an FEA explicitly imposes the concept of dominance on a partially ordered solution set. We show that the algorithm is provably robust for both linear and nonlinear problems and constraints. FEAs use a finite pattern of mutation offsets, and our analysis is closely related to recent convergence results for pattern search methods. We discuss how properties of this pattern impact the ability of an FEA to converge to a constrained local optimum.

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