bluuebunny/crossref_metadata_2025 huggingface dataset:
Association Analysis for Economic Traits in Upland Cotton (Gossypium hirsutum L.)
Authors: Subalakhshmi V.K.I. Sri , Rajeswari S. , Premalatha N. , Thirukumaran K. , Boopathi N. Manikanda
Published: November 2022

Background: Gossypium hirsutum, the most widely cultivated crop in the world has concurrent importance for both fibre quality and yield. Polygenes regulate cotton output and a variety of factors affect the characteristic. As a result, it is essential to have thorough knowledge of the relationships between different component traits and fibre quality. Thus, the aim of the study was framed to know about the correlation along with cause-and-effect relationship among the economic traits. Mathod: Eight parents and 56 hybrids made up the experimental sample for our study, which were evaluated for 18 economically significant traits. The study was conducted at Department of Cotton, Tamil Nadu Agricultural University, Coimbatore, in 2021-2022. Results: Analysis of variance was highly significant for all the traits studied. The result of correlation revealed that the traits viz., number of bolls per plant, boll weight, number of seeds per boll, upper half mean length and fibre strength had a high magnitude of positive correlation with seed cotton yield at both genotypic and phenotypic levels. Path analysis represented the direct effects of upper half mean length, uniformity index, number of bolls per plant, number of seeds per boll and fibre strength on seed cotton yield. Hence, these traits can be used as selection criteria for yield improvement in cotton.
Management of Whitefly, Bemisia tabaci (Genn.) and Yellow Mosaic Virus Disease Infesting Blackgram, Vigna mungo (Linn)
Authors: Jain D.K. , Swami H. , Kumar Hasmukh , Singh Bahadur , Chouhan Bhagwat Singh , Chhangani Gaurang
Published: November 2022

Background: Pulse crops have a unique position in sustainable crop production as they provide highly nutritive food and keep the soil alive as well as productive. They play an important role in the Indian agriculture economy being the major source of protein in Indian dietary. Due to its more luxurious growth and more vegetative canopy, number of insect pests and diseases attack from seedling to maturity stage especially sucking pests like whitefly (Bemisia tabaci Genn.), which is the vector of the drastic disease, yellow mosaic virus disease (YMD) and cause losses ranging from 30-80% per cent. Methods: The field experiment on the management of whitefly and yellow mosaic disease (YMD), was conducted by integrating different combination of insecticides and yellow sticky trap during Kharif, 2018 and 2019 at instructional farm of VBKVK, Udaipur. Seven treatments comprising of different combinations of seed treatments at the time of sowing, foliar spray at 30 and 45 DAG and yellow sticky traps were evaluated. Result: Among the different treatments, seed treatment with Imidacloprid 600 FS @ 5 ml/kg, first foliar spray of Diafenthuron 50 WP @ 0.1% and second foliar spray with Acetamiprid 20 SP @ 0.5 g/l at 30 and 45 DAS respectively + yellow sticky trap resulted in significantly less YMD incidence (18.91%) and the minimum mean whitefly population and highest seed yield of blackgram. The above treatment was followed by seed treatment with Imidacloprid 600 FS @ 5 ml/kg and two foliar spray of Acetamiprid 20 SP @ 0.5 g/l at 30 and 45 DAS + yellow sticky trap, which recorded 20.31% disease incidence of YMD and mean whitefly population of (3.77 and 1.44/plant, respectively after first and second spray) and black gram yield of 10.01 q/ha.
Self-Compassion Focused Writing Practices: A Systematic Review
Authors: AYDOĞDU Burcu Ebru , DİRİK Gülay
Published: November 2022

In the current systematic review study, it is focused on examining the interventions of 'self-compassion-focused writing', which is a method that combines the concept of self-compassion, which has gained attention in the psychology literature in recent years, and the Written Emotional Disclosure Paradigm which is based on expressing emotions by writing. For this purpose, ScienceDirect, PsycINFO, Web of Science, PubMed, EbscoHost and DergiPark databases were searched through various keywords. Considering the inclusion and exclusion criteria of the study, 31 studies determined to be fit for purpose were examined in terms of sample characteristics, methodology and results. It was observed that the studies were generally conducted with college students and predominantly female, the results were compared with the active intervention groups, random assignment was made to the groups, and repeated measurements were taken. Generally, it has been determined that self-compassion-focused writing provides positive changes on psychological (depression, positive/negative affect), body-related (body satisfaction, body image) and physical (pain) variables. In the reviewed studies, it was concluded that self-compassion-focused writing generally tended to produce stronger positive results compared to active control groups (traditional writing, self-esteem-based writing). Besides, it was observed that the positive changes obtained in studies that carried out follow-up evaluations tended to continue partially. The results show that self-compassion-focused writing is a promising method.
Individual Risk Aversion, Inheritance Expectation and Household Annuity Ownership
Authors: Guillemette Michael , Liu Yi
Published: November 2022

Although risk preferences and inheritance expectations should affect annuitization decisions, few studies have empirically tested these relations. This study bridges the gap in the prior literature by investigating potential effects that consumer risk aversion and inheritance expectations have on annuitization. Using data from the 2012 wave of the Health and Retirement Study, this study finds that consumers who are more risk averse have a higher likelihood of owning household annuity income compared to consumers who are less risk averse. Consumers with a higher inheritance expectation are more likely to have household annuity income compared to those with a lower inheritance expectation. Finally, when risk aversion is interacted with inheritance expectation, it increases the likelihood of household annuity ownership.
Historiografi Orde Baru yang Hegemonik dan Pembelajaran Sejarah di Sekolah (SMP, SMA)
Authors: Krisnadi I.G.
Published: November 2022

Artikel ini bertujuan menjelaskan upaya pemerintah Orde Baru mengendalikan sejarah, sejarah kontroversial dan krisis pembelajaran sejarah, demokratisasi sejarah dan memformat ulang historiografi Orde Baru. Penelitian ini menggunakan metode sejarah. Setiap permasalahan yang muncul di dalam penelitian ini didekati dengan ilmu politik, dan dianalisis menggunakan teori hegemoni dari Antonio Gramsi.
PERAN PENYULUH DALAM PENERAPAN INDONESIAN SUSTAINABLE PALM OIL (ISPO) PADA PETANI KELAPA SAWIT SWADAYA DI KABUPATEN KAMPAR
Authors: Nurhaliza Nurhaliza , Rosnita Rosnita , Dewi Novia
Published: November 2022

Riau Province is the largest palm oil producing province and Indonesian Sustainable Palm Oil (ISPO) is one aspect that must be applied by farmers in increasing the competitiveness of the palm oil business they manage. This study aims to analyze the role of extension workers in implementing ISPO in Kampar District. Multistage area sampling is a sampling method used in research. The study population consisted of independent oil palm farmers with a total sample of 90 independent smallholders. Data were analyzed using descriptive analysis and a Likert scale. The results of the study illustrated that the counseling in Kampar District was not going well. On average, the role of extension is lacking in providing education, dissemination, information, facilitation, consultation, supervision and monitoring evaluation to independent smallholders so that farmers have not been able to apply the principles of ISPO (Indonesian Sustainable Palm Oil)
PERFORMA KOMODITAS MINYAK SAWIT INDONESIA DI TATARAN GLOBAL: MAMPUKAH KITA MENJADI PEMAIN KUNCI?
Authors: Latifah Zukha , Kadir Kadir
Published: November 2022

Palm oil is important Indonesia's export commodities. Amidst the strong position, Indonesia's palm oil exports face many challenges. This study aims to identify the performance of Indonesian palm oil compared to competing countries, the competitiveness, the market position, and the potential development of the commodity in several major trading partners. The results of Revealed Comparative Advantage and Trade Specialization Index calculations show that Indonesia's comparative competitiveness is the highest among other major exporters or producers, and Indonesia's exports are at the maturity stage. Regarding Market Position Matrix and X-Model of Potential Export Products Clusterization, the Indonesian palm oil markets in India, China, and the USA are rising stars and optimistic about developing. Meanwhile, in Pakistan and Malaysia, Indonesia experienced a lost opportunity, and the Spanish market was in a falling position but still had the potential to be improved due to the high competitiveness of the product. On the other hand, in Netherlands and Italy, it experienced a retreat, allegedly due to negative sentiment towards palm oil as the cause of various environmental destruction.
FAKTOR DETERMINAN PEMANFAATAN LAHAN TIDUR DI KECAMATAN TEON NILA SERUA (TNS) MALUKU TENGAH: SEBUAH ANALISIS REGRESI
Authors: Istia Penina T. , Jakob Juvrianto Chrissunday
Published: November 2022

The people in TNS sub-district are the evacuation areas of 16 villages from the Teon Nila Serua Island, where each household is given an area of two hectares or 20.000 m2 to be managed into agricultural land and settlements. The total area of TNS sub-district is 24.208 km2 with a population of 14,354 people, and area of idle land is 290 hectares. The problem of this research is what factors affect the use of idle land in TNS District, Central Maluku. The method used in data collection is interview and questionnaire which are given to productive farmers during the Covid-19 pandemic as interviewee, while the data analysis method using multiple linear regression with the results obtained. The dummy variables of farmer profession, capital, technology and the dummy of the division of labor have a positive effect on the use of idle land during the Covid 19 pandemic, in TNS sub-district, Central Maluku. Beside that, the use of idle land and production yields is increased from before.
ANALISIS EFEKTIVITAS PROGRAM KARTU TANI DI DESA CABAK, KECAMATAN JIKEN, KABUPATEN BLORA
Authors: Budi Setiyo , Sugihardjo Sugihardjo , Permatasari Putri
Published: November 2022

This study aims to analyze the effectiveness of the farmer card program in Cabak Village, Jiken District, Blora Regency. The research sample amounted to 79 farmers who were determined using the proportional random sampling method. The research data analysis method is descriptive quantitative. The effectiveness of the farmer card program is measured based on three indicators of measuring program effectiveness, namely program success, target success and program satisfaction. The results showed that the effectiveness of the farmer card program in Cabak Village was quite effective. Serious problems that occur in the implementation of farmer card in Cabak Village are the increase in fertilizer prices and the lack of subsidized fertilizers compared to farmers' needs.
FRAGMENTASI LAHAN DAN TINGKAT KESEJAHTERAAN PETANI BAWANG MERAH: SEBUAH ANALISIS REVIEW
Authors: Umyati Sri , Andayani Sri Ayu , Ismannudin Itang
Published: November 2022

One of the reasons for the shrinkage of agricultural land in Indonesia is the existence of a system for inheritance and conversion of agricultural land which generally occurs on productive lands. If this condition continues, it will certainly become a serious threat to national food availability. This study aims to determine the extent of land fragmentation that occurs and measure the level of welfare of shallot farmers. The research method used is the descriptive qualitative method with the technique of determining respondents using snowball sampling. The analytical technique used is a descriptive approach and uses welfare indicators from the National Population and Family Planning Agency (BKKBN). Based on the results of the study, land fragmentation in shallot farmers occurs through a system of inheritance, buying and selling, and land renting. Land fragmentation through inheritance is the most common and the largest area of inherited land comes from the wife's family with an average land area of 1.19. The highest level of welfare of shallot farmers was obtained at the prosperous family stage I with a percentage of 37.04%, for the pre-prosperous family stage with a percentage of 33.33%, and the lowest results were obtained at the prosperous family stage with a percentage of 29, 63%.
PENGUATAN DAN PENGEMBANGAN MODEL BISNIS BERKELANJUTAN GLEN CHOCO: PENDEKATAN TRIPLE LAYER BUSINESS MODEL CANVAS
Authors: Nikmah Nur Lailin Jamilatun , Magfiroh Illia Seldon
Published: November 2022

Cocoa plants are a leading plantation commodity that entirely exists in Indonesia. One of which is the highest production of Edel Cocoa in 2019 located at PTPN XII Kendenglembu, which has cocoa processing industry, namely Doesoen Kakao, and has great potential in improving the economy and social aspects. However, the weakness is using aluminum foil packaging, which is considered less environmentally friendly. The purpose of this study is to find out the mapping of the sustainable business model of the “Glen Choco” using TLBMC (Triple Layer Business Model Canvas) and decision using PMIA (Plus Minus Implication Analysis). The research method uses descriptive and analytic methods. The results show: 1) The results on TLBMC at the economic layer describe all elements, the environmental layer can’t describe the End of Life because the packaging isn’t environmentally friendly, the social layer can’t describe the Social Impact because it has no impact poor social society, 2) Decision on PMIA is the economic layer has a high score of 109 to strengthen the business model. The environmental layer has the lowest score of 70 to develop a business model, and the social layer has a high score of 96 to strengthen the business models.
BIAYA TRANSAKSI DAN PEMILIHAN SALURAN PEMASARAN KOPI ARABIKA GAYO: STUDI EMPIRIS DI PROVINSI ACEH
Authors: Juliaviani Noratun , Sahara Sahara , Asmarantaka Ratna Winandi
Published: November 2022

This study aims to analyze the effect of transaction costs on the selection of marketing channels by Gayo Arabica coffee farmers in the Central Aceh and Bener Meriah districts. This study uses a transaction cost economics approach (TCE) to explain the choice between cooperatives collectors and exporters' traders. Identification of transaction cost variables that affect marketing channel selection by farmers in Aceh Tengah and Bener Meriah districts using the probit model with E-Views 7.0 software. The results show that the transaction costs that affect the farmers’ decision in choosing marketing channels to collectors from cooperatives in Central Aceh Regency are the amount of time to seek price information and dummy access to prices and prices received by farmers. Meanwhile, in Bener Meriah Regency, transaction costs that affect farmers' decisions in choosing marketing channels to collectors from cooperatives are the price received by farmers, dummy access to credit to traders, and the length of payment from traders. This research has policy implications for improving Gayo Arabica coffee farmers' structure, behavior, performance, and welfare
DAYA SAING DAN FAKTOR YANG MEMPENGARUHI EKSPOR LADA INDONESIA KE AMERIKA: PENDEKATAN REVEALED COMPARATIVE ADVANTAGE
Authors: Brahmana Maria Nina Egyna , Novianti Tanti
Published: November 2022

The US was the world's largest pepper importer in 2020. Most of the US pepper imports came from Indonesia and Vietnam. The greater the number of imports will lead to the emergence of many competitors from other countries. The increasing producers and exporters of a product worldwide will result in tighter competitiveness between countries to win the market. Indonesian pepper exports fluctuate and tend to decrease, allegedly due to the low competitiveness of Indonesian pepper products compared to Vietnam. This study aims to analyze the competitiveness of Indonesian and Vietnam black pepper and analyze factors that affect Indonesian black pepper exports to America. This research is a quantitative research that uses secondary time series data from the period 2011-2020. Data sources were obtained from UN Comtrade, Central Statistics Agency, Ministry of Agriculture, and Indonesia Central Bank. The analysis uses RCA and Multiple Regression. The results showed that Indonesian pepper export competitiveness has an RCA value of 25.83, and Vietnam has RCA of 29.28. The volume of exports made by Indonesia to the American market is markedly influenced by the value of RCA and exchange rates, while the price of exports and domestic pepper production has no significant effect.
USAHA TANI HORTIKULTURA DI KABUPATEN POSO: SEBUAH KOMPARASI PENDAPATAN USAHA TANI BAWANG MERAH DAN KUBIS
Authors: Guampe Feliks Arfid , Hengkeng Join , Lempao Novi Maryam , Sido Yames
Published: November 2022

The farming sector is an important part of Indonesia’s national development due to its availability of foodstuffs, industrial resources, bio-energy, labor absorption, and income source for the rural populace. The horticultural practices, such as farming vegetables, fruits, medicinal herbs and ornamental plants, are strategic subsectors in the progression of the national and regional farming industry. This study aims to determine the performance of farming and to compare the income of horticultural farming of cabbage and shallots in the Poso Regency. A combined method is utilized in this research. Qualitative data analysis will descriptively portray the production and processing stages, cost, market access, and farmers’ income, while quantitative analysis will calculate the profit and Return-Cost Ratio. The research shows that farmers’ revenue depends on the size of land they possess. After a planting season, the net income of shallot farmers is between Rp 116.045.237 and Rp139.647.762, whereas cabbage farmers earn a total net income between Rp 18.131.412 and Rp 83.141.875. This demonstrates that horticultural farming, namely shallot cultivation, is more profitable than cabbage.
PENGARUH STRATEGI PEMASARAN TERHADAP KINERJA PEMASARAN PRODUK OLAHAN KOPI
Authors: Fitria Shalsabillah Nur , Widayanti Sri , Laily Dona Wahyuning
Published: November 2022

Fore Coffee is a contemporary coffee shop offering a wide variety of high-quality coffee drinks. As coffee shops in Indonesia mushroomed during the COVID-19 pandemic, Fore Coffee carried out various marketing strategies so that sales could survive in an increasingly competitive market. This research aims to describe the 7P marketing components that Fore Coffee has carried out, analyze the effect of the 7P marketing strategy that Fore Coffee has carried out on marketing performance, and explain the implications of the research results for company development. The method in this study uses descriptive analysis and a PLS analysis tool named WarpPLS 6.0 with 100 respondents who are Fore Coffee consumers at Tunjungan Plaza Mall Surabaya. The results showed that the components of the 7P strategy carried out by Fore Coffee were considered quite good by most consumers. In testing the marketing strategy on the marketing performance of Fore Coffee, it was found that all components of the marketing strategy in this study had a significant effect on the acceptance of all research hypotheses. Based on the implications of the research results, theoretically justify and strengthen several theories and previous research.
Upaya Peningkatan Pemahaman Guru Terhadap Rancangan Pelaksanaan Pembelajaran Harian Kurikulum 2013 di TK PGRI Kartini dan TK PGRI Al Husna Desa Sukogidri
Authors: Budyawati Luh Putu Indah , Khutobah Khutobah , Zahro Indah Rohmatuz , Geraldhyne Vanessa Jovanka
Published: November 2022

Tujuan dari pengabdian ini secara umum untuk (1) Meningkatkan pemahaman guru-guru di TK PGRI Kartini dan TK PGRI Al Husna terkait penyusunan Rancangan Pelaksanaan Pembelajaran Harian Kurikulum 2013, (2) Dihasilkannya beberapa Rancangan Pelaksanaan Pembelajaran Harian Kurikulum 2013 dengan beberapa tema yang digunakan di lembaga PAUD, (3) Terpublikasinya hasil program pengabdian masyarakat di TK PGRI Kartini dan TK PGRI Al Husna. Guru di TK PGRI Kartini dan TK PGRI Al Husna masih belum memahami bagaimana menentukan tujuan pembelajaran dan intikator pencapaian anak ke dalam Rancangan Pelaksanaan Pembelajaran Harian Kurikulum 2013. Dalam mengalami masalah yang dialami oleh guru di TK PGRI Kartini dan TK PGRI Al Husna, solusi yang ditawarkan adalah dengan melaksanakan sebuah workshop untuk peningkatan pemahaman guru terkait penyusunan Rancangan Pelaksanaan Pembelajaran Harian Kurikulum 2013. Langkah yang dilakukan untuk melaksanakan kegiatan ini adalah dengan cara kepala sekolah mendata guru di sekitar wilayah Sukogidri yang berminat mengikuti workshop. Setelah mendata guru, kegiatan yang dilakukan adalah menyusun materi yang akan disampaikan saat workshop. Kemudian peneliti merancang jadwal pelaksanaan workshop. Ketika jadwal pelaksanaan workshop telah ditetapkan peneliti bisa memulai kegiatan pendampingan tersebut yang dihadiri oleh guru di wilayah desa Sukogidri. Metode yang digunakan dalam kegiatan tersebut adalah pendampingan dan pelatihan pembuatan Rancangan Pelaksanaan Pembelajaran Harian Kurikulum 2013 yang sesuai dengan konsep kurikulum 2013.
Training on Making Media (Chemistry Online Learning) as a Distance Learning Solution
Authors: Hidayah Rusly , Dwiningsih Kusumawati , Azizah Utiya , Asih Findiyanti Ernawati
Published: November 2022

The Covid 19 pandemic has hit all countries including Indonesia. Indonesia was hit by a pandemic starting in early March 2020. With this pandemic, Indonesia is required to be prepared for the potential spread of this virus. This is due to the geographical location of Indonesia which is directly adjacent to several countries affected by the spread of the Covid-19 virus as well as the development of globalization and increasingly smooth traffic between countries. One way to reduce the rate of spread of this virus is by implementing Large-Scale Social Restrictions (PSBB) so that all activities in schools and offices are carried out in a work from home (WFH) manner. Learning activities cannot be carried out directly so that learning in this period utilizes existing technology so that students still understand the material. As one solution to improving the quality of learning, the program activities make a product in the form of a learning video that is very interesting and fun so that students don't feel bored when participating in distance learning
Russian vaccines against COVID-19: their characteristics, efficacy and safety
Authors: Bilev A. E. , Sokurova A. M. , Bileva N. A. , Kachkovskii M. A. , Vvedenskaya I. P.
Published: November 2022

The review presents data on the types of vaccines designed to prevent the development of a new coronavirus infection (COVID-19). The procedure for inclusion in the register of funds for use in emergency situations is considered. National regulatory authorities may decide to use vaccines before they are approved by the World Health Organization (WHO) due to the very lengthy registration process. The vaccines approved for use in the Russian Federation, their features, studied efficacy and safety data are listed. Data on the minimum frequency of serious adverse reactions arising from the use of vaccines against COVID-19, which are not comparable with the high frequency of deaths from this disease, are presented. The reasons for the need to develop their own vaccines are listed: the need to quickly vaccinate a huge number of the population during a pandemic, even before WHO registers in the register of funds for use in emergency situations, delays in the receipt of vaccines from countries where they are produced, the potential threat of leakage of pathogenic viruses and bacteria from biological laboratories, ensuring the economic security of the country during pandemics. Conclusions. There are a sufficient number of safe and effective vaccines against COVID-19 in the Russian Federation, developed using various technologies. In view of the ongoing pandemic of a new coronavirus infection, the use of vaccines is of great preventive importance for building individual and collective immunity. The successful development of domestic vaccines in the Russian Federation is important from the point of view of the epidemiological and economic security of the country.
Comparison of turbulence models for a supersonic tip vortex simulation
Authors: Borisov Vitaly Evgenyevich , Kostantinovskaya Tatiana Vitalievna , Lutsky Alexander Evgenievich , Khankhasaeva Yana Vladislavovna
Published: November 2022

In the paper the turbulence models SA, SST and DES based on SA are compared for simulation of supersonic tip vortex at incoming flow Mach number M? = 3 and wing generator attack angles of 10 and 20 degrees. The simulations were carried out on the hybrid supercomputer system K-60 at the Keldysh Institute of Applied Mathematics RAS.
JACIII Distinguished Editor & Outstanding Reviewer Awards 2022
Authors: Office Editorial
Published: November 2022

The JACIII Distinguished Editor and Outstanding Reviewer Awards were established for the purpose to honor editors who have made a significant contribution to the growth of the JACIII in 2018 and to acknowledge reviewers who have made a significant contribution to reviewing in 2021. We express our deepest gratitude for their professional work, which we believe conductive to development of not only the JACIII but also scientific research.

JACIII DISTINGUISHED EDITOR AWARD 2022

Bin Xin (Beijing Institute of Technology, China), Fei Yan (Changchun University of Science and Technology, China), Guohun Zhu (The University of Queensland, Australia), Jinhua She (Tokyo University of Technology, Japan), Keigo Watanabe (Okayama University, Japan), Luefeng Chen (China University of Geosciences, China), Tomohiro Yoshikawa (Suzuka University of Medical Science, Japan), Tomomi Hashimoto (Saitama Institute of Technology, Japan), Yasufumi Takama (Tokyo Metropolitan University, Japan), Zhen-Tao Liu (China University of Geosciences, China), and Zhihong Peng (Beijing Institute of Technology, China)

JACIII OUTSTANDING REVIEWER AWARD 2022

Emi Yuda (Tohoku University, Japan), Kehan Chen (Changchun University of Science and Technology, China), and Weiwu Ren (Changchun University of Science and Technology, China)
Generalization of Tsallis Entropy-Based Fuzzy c-Means Clustering and its Behavior at the Infinity Point
Authors: Kanzawa Yuchi , Miyamoto Sadaaki ,   Shibaura Institute of Technology 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan,   University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
Published: November 2022

This study presents a generalized Tsallis entropy-based fuzzy c-means (GTFCM) clustering algorithm. Furthermore, the results of this study show that the behavior of GTFCM, at an infinity point of the fuzzy classification function, is similar to that of some conventional clustering algorithms. This result implies that such behavior is determined by a certain part of the GTFCM objective function.
A Curiosity-Based Autonomous Navigation Algorithm for Maze Robot
Authors: Zhang Xiaoping ,   School of Electrical and Control Engineering, North China University of Technology No.5 Jinyuanzhuang Road, Shijingshan District, Beijing 100144, China, Liu Yihao , Wang Li , Hu Dunli , Liu Lei
Published: November 2022

The external reward plays an important role in the reinforcement learning process, and the quality of its design determines the final effect of the algorithm. However, in several real-world scenarios, rewards extrinsic to the agent are extremely sparse. This is particularly evident in mobile robot navigation. To solve this problem, this paper proposes a curiosity-based autonomous navigation algorithm that consists of a reinforcement learning framework and curiosity system. The curiosity system consists of three parts: prediction network, associative memory network, and curiosity rewards. The prediction network predicts the next state. An associative memory network was used to represent the world. Based on the associative memory network, an inference algorithm and distance calibration algorithm were designed. Curiosity rewards were combined with extrinsic rewards as complementary inputs to the Q-learning algorithm. The simulation results show that the algorithm helps the agent reduce repeated exploration of the environment during autonomous navigation. The algorithm also exhibits a better convergence effect.
Fuzzy Logic-Based Adaptive Aquaculture Water Monitoring System Based on Instantaneous Limnological Parameters
Authors: Bautista Mary Grace Ann C. , Palconit Maria Gemel B. , Rosales Marife A. , II Ronnie S. Concepcion , Bandala Argel A. , Dadios Elmer P. , Duarte Bernardo ,   Department of Electronics and Computer Engineering, De La Salle University 2401 Taft Avenue, Malate, Manila 1004, Philippines,   Department of Manufacturing Engineering and Management, De La Salle University 2401 Taft Avenue, Malate, Manila 1004, Philippines,   Marine and Environmental Sciences Centre & Aquatic Research Infrastructure Network Associated Laboratory, Faculdade de Ciências da Universidade de Lisboa Cidade Universitária, Alameda da Universidade, Lisboa 1749-016, Portugal,   Departamento de Biologia Vegetal, Faculdade de Ciências da Universidade de Lisboa Cidade Universitária, Alameda da Universidade, Lisboa 1749-016, Portugal
Published: November 2022

Water quality is crucial for maintaining a sustainable living environment in aquaculture. Limnological parameters affects the fish physiology, growth rate, and feed efficiency and may lead to high mortality rate under extreme conditions. The development of an adaptive aquaculture monitoring system for water quality using fuzzy logic will address this problem. Using Mamdani-type fuzzy inferences system (FIS) model, the input limnological parameters such as pH, temperature, total dissolved solids, and dissolved oxygen levels were transformed to four output states: excellent, good, poor, and toxic, for the prediction of water quality. For the simulation and evaluation of the developed FIS, MATLAB Simulink was used. Results of this study can be integrated with a feedback system for appropriate treatments including filtering, aeration, and water flushing to maintain safe environment for Nile tilapia.
2-DOF Fractional Order PID Control Based on BP Neural Network for Atomic Force Microscope
Authors: Chang Shujun , Peng Chao , Dai Shiqiang , Wang Jianyu ,   Zhongshan Institute, University of Electronic Science and Technology of China 1 Xueyuan Road, Shiqi District, Zhongshan City, Guangdong 528400, China,   School of Automation Engineering, University of Electronic Science and Technology of China  2006 Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan 611731, China
Published: November 2022

To enhance trajectory tracking performance of atomic force microscope system, a two-degree of freedom fractional order PID (2-DOF FOPID) control approach based on back propagation (BP) neural network is proposed in this paper. At first, principle and structure of the proposed control approach is presented. Then, 2-DOF FOPID controller is designed, including in feedforward and feedback controller, fractional calculus and approximation of fractional operator. Meanwhile, the parameters of controller are analyzed. Based on them, a BP neural network is built to adjust the parameters in this control structure according to the error between the reference trajectory and the actual output. Finally, the proposed control approach is conducted in atomic force microscope tracking control experiment, experimental results verify the effectiveness and improvement of the proposed control approach.
Regression Model for Optimization and Prediction of Tensile Strength of a PLA Prototype Printed
Authors: Hamouti Lahcen ,   National School of Applied Sciences-Agadir, Ibn Zohr University BP 1136, CP 80000 Agadir, Morocco, Farissi Omar El , Outemssa Omar
Published: November 2022

The experimental studies on prototypes printed in 3D with polylactic acid (PLA) material still seek to characterize the mechanical behavior and the deformations of these printed samples according to the various solicitations. The huge number of parameters intervening in these properties makes the control of process difficult and expensive. Previous studies on the impact of these parameters on the mechanical properties are limited to the investigation of a very less number of parameters. The objective of the present study is to take advantage of artificial intelligence tools, and to exploit the experimental results, in order to present artificial models that are able to optimize the choice of parameters intervening in the properties (tensile strength) of printed parts.
Modified Ant Colony Optimization with Route Elimination and Pheromone Reset for Multiple Pickup and Multiple Delivery Vehicle Routing Problem with Time Window
Authors: Ratanavilisagul Chiabwoot ,   Department of Computer and Information Science of Applied Science, King Mongkut’s University of Technology North Bangkok 1518 Pracharat 1 Road, Wong Sawang Subdistrict, Bang Sue District, Bangkok 10800, Thailand
Published: November 2022

The vehicle routing problem (VRP) has many applications in goods distribution and goods transportation. Today, many companies have requirements for VRP with multiple pickup and multiple delivery within due time. This problem is called multiple pickup and multiple delivery vehicle routing problem with time window (PDPTW). PDPTW has many constraints and ant colony optimization (ACO) has been used to solve it although ACO creates too many infeasible routes. Moreover, it often gets trapped in local optimum. To solve these problems, this paper proposed an improved ACO by using the route elimination technique and the pheromone reset technique. The ACO with route elimination technique, it has proven to solve the PDPTW problem with increased performance. The proposed technique was tested on datasets from the Li & Lim’s PDPTW benchmark problems and provided more satisfactory results compared to other ACO techniques.
Two Degree of Freedom Dynamic Model Parameter Identification of Accelerometer Using Feature Point Coordinate Estimation and Amplitude Correction
Authors: Wei Qingxuan ,   Information Engineering College, Beijing Institute of Petrochemical Technology No.19 Qingyuanbei Road, Daxing District, Beijing 102617, China, Li Xueting
Published: November 2022

The accurate identification and characterization of the accelerometer dynamic model parameters play an important role in improving the dynamic performance of the device or system with an accelerometer. To overcome the problem that the traditional single degree of freedom (SDF) dynamic model of the accelerometer cannot describe the dynamic characteristics beyond the first resonant frequency of the accelerometer, a two degree of freedom (TDF) dynamic model of the accelerometer was constructed. On this basis, a parameter identification method for the TDF dynamic model of the accelerometer based on the feature points coordinate estimation and amplitude correction was proposed. First, the zero frequency point coordinates of the accelerometer frequency response were obtained by the Hv method. The first and second resonance point coordinates were estimated by discrete spectrum correction and the least square (DSC-LS) method. Then, the amplitude correction coefficient was applied to eliminate the influence of series coupling on the amplitude. Finally, the TDF dynamic model parameters of the accelerometer were calculated through the feature point coordinates. The experimental results show that the method has high accuracy and can avoid the influence of series coupling on the parameter identification accuracy of the accelerometer’s TDF dynamic model without complex derivation and decoupling operations. The identified TDF dynamic model of the accelerometer can represent the dynamic characteristics with a higher frequency range.
Multimodal Analogy-Based Image Retrieval by Improving Semantic Embeddings
Authors: Ota Kosuke ,   Department of Electrical and Computer Engineering, Shinshu University 4-17-1 Wakasato, Nagano 380-8553, Japan, Shirai Keiichiro , Miyao Hidetoshi , Maruyama Minoru
Published: November 2022

In this work, we study the application of multimodal analogical reasoning to image retrieval. Multimodal analogy questions are given in a form of tuples of words and images, e.g., “cat”:“dog”::[an image of a cat sitting on a bench]:?, to search for an image of a dog sitting on a bench. Retrieving desired images given these tuples can be seen as a task of finding images whose relation between the query image is close to that of query words. One way to achieve the task is building a common vector space that exhibits analogical regularities. To learn such an embedding, we propose a quadruple neural network called multimodal siamese network. The network consists of recurrent neural networks and convolutional neural networks based on the siamese architecture. We also introduce an effective procedure to generate analogy examples from an image-caption dataset for training of our network. In our experiments, we test our model on analogy-based image retrieval tasks. The results show that our method outperforms the previous work in qualitative evaluation.
Semantic Segmentation of Substation Site Cloud Based on Seg-PointNet
Authors: Gao Wei , Zhang Lixia ,   Internet Department, State Grid Shanxi Electric Power Company 3 Xieyuan Road, Changfeng Business District, Taiyuan, Shanxi 030021, China,   Information and Communication Branch, State Grid Shanxi Electric Power Company 3 Xieyuan Road, Changfeng Business District, Taiyuan, Shanxi 030021, China
Published: November 2022

3D point cloud semantic segmentation has been widely used in industrial scenes and has attracted continuous attention as a critical technology for understanding the intelligent robot scene. However, extracting visual semantics in complex environments remains a challenge. We propose the Seg-PointNet model based on multi-layer residual structure and feature pyramid for the LiDAR point cloud data semantic segmentation task in the complex substations scene. The model is based on the PointNet network and introduces a multi-scale residual structure. The residual structure multilayer perception (RES-MLP) model is proposed to fully excavate features at different levels and improve the characterization capabilities of complex features. Moreover, the 3D point cloud feature pyramid module is proposed to characterize the substation scene’s semantic features. We tested and verified the Seg-PointNet model on a self-built substation cloud point (SCP) dataset. The results show that the proposed Seg-PointNet model effectively improves the point cloud data segmentation accuracy, with an accuracy of 89.23% and mean intersection over union (mIoU) of 63.57%. This shows that the model can be applied to substation scenarios and provide technical support to intelligent robots in complex substation environments.
Observation of Human Entrainment with Robot Assistance Towards Education
Authors: Huang Tzong-Xiang ,   Department of Computer Science, Graduate School of Systems Design, Tokyo Metropolitan University 6-6 Asahigaoka, Hino-shi, Tokyo 191-0065, Japan, Sato-Shimokawara Eri , Yamaguchi Toru
Published: November 2022

At present, the world faces the challenge of making education available to all the people of the world, especially in under-developed areas, where there is a lack of human resources. To improve educational standards and address this lack of human resources, we believe that robots can be a good teaching aid, to assist both the teacher and the student. This study investigated the entrainment phenomenon between human interactions with a robot as a third-party influence to provide learning packages that will be suited for students and will reduce the strain on teachers. We used dynamic time warping (DTW) algorithm in our time series analysis to effectively calculate the similarity of the brainwaves of the subjects. Then, we defined the entrainment phenomenon between the subjects. To ensure the complexity of this experiment, crosswords were used for this task, which subjects were required to complete in cooperation with each another. At different points of time, the robot would use different expressions, actions, and words as reminders or hints, aiding communication and better cooperation between subjects. The timing of the robotic reminders, synchronization, conversations between the subjects in the crossword tasks, and the completion rate of the crossword puzzles were recorded. The average completion rate improved by 10% with the aid of the robot, as opposed to not using the robot. The results of this study prove that robotic participation in human interaction is beneficial, and that implementing robotic assistance will improve education.
Regenerative Braking Optimization Using Particle Swarm Algorithm for Electric Vehicle
Authors: Chai Wong Siu , Romli Muhammad Izuan Fahmi bin , Yaakob Shamshul Bahar , Fang Liew Hui , Aihsan Muhammad Zaid ,   Faculty of Electrical Engineering Technology, University Malaysia Perlis (UniMAP) Pauh Putra, Arau, Perlis 02600, Malaysia,   Electric Vehicle Energy Storage System (eVess) Research Group, Centre of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP) Pauh Putra, Arau, Perlis 02600, Malaysia,   Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia
Published: November 2022

In recent years, the topic of reducing fuel consumption and greenhouse gas emission has become one of the major focuses on the automotive industry leading toward the development of electric vehicles to create awareness of environmental protection. Thus, the development of hybrid electric vehicle (HEV), plug-in hybrid electric vehicle (PHEV), and fully electrical vehicle (EV) has started growing up to replace the gasoline car, which is fully depends on fuel to operate, to help fight against the world climate change issues. This research is mainly focused on solving the problem of charging period of traditional used batteries pack, energy storage system of EV, and the limitation on travel distance for EV with the use of batteries pack as an energy source. The proportional-integral (PI) controller based on particle swarm optimization (PSO) algorithm is implemented in this simulation to optimize the speed of BLDC motor by obtaining an optimized parameter of Kp and Ki. The MATLAB/Simulink software is used for graphical modelling, simulating, and analyzing the behavior of supercapacitor in various condition. The simulation results represent the proposed PSO-based energy management method can achieve greater energy efficiency as compared to the traditional method. All in all, moving forward in developing a fully electric buses or vehicles can bring society into a new generation of zero greenhouse gas emissions. In this paper, the optimization of the PI controller based on PSO algorithm is applied and the results show that there is an increment of 6% in total distance traveled by the EV. Besides, there is the 3.69% of improvement for maximum speed and peak to peak speed of the EV and 14.57% of improvement in terms of average speed of EV within the total travel duration of 1300 s.
Option Pricing for Uncertain Stock Model Based on Optimistic Value
Authors: Deng Liubao , Tan Hongye , Wei Fang , Wang Yilin ,   School of Business, Guangzhou College of Technology and Business No.5 Guangming Road, Haibu, Shiling Town, Huadu District, Guangzhou City, Guangdong 510850, China,   School of Finance, Anhui University of Finance and Economics Bengbu 233030, China
Published: November 2022

Option pricing plays an important role in modern finance. This paper investigates the uncertain option pricing problems based on uncertainty theory by using the method to calculate the optimistic value of uncertain returns of options instead of the method of traditional expected value in the sense of the weighted average. The pricing formulas of the European and American options are derived for Liu’s uncertain stock model and Peng’s mean-reverting stock model which are two basic and representative uncertain stock models in uncertain finance. In the end, some numerical experiments are given to illustrate the effectiveness of the obtained results.
Trend Forecast of Shanghai Crude Oil Futures
Authors: Huang Yutao ,   Department of Statistics, School of Statistics and Mathematics, Zhejiang Gongshang University  18 Xuezheng Street, Xiasha Education Park, Hangzhou, Zhejiang 310018, China, Yuan Wenyu , Wang Meiyu , Gu Wentao , Zhang Linghong
Published: November 2022

The dominant position in crude oil pricing affects a country’s energy and economic security. We construct different time-series forecasting models to analyze the long-term trends of Shanghai crude oil futures and guide current price trading. First, we built a classic ARIMA model as the benchmark. It is a good choice for short-term investors but does not apply to long-term trend prediction. We propose an improved HW-Prophet model that can maximize its advantages in selecting and reconstructing mutation points and reduce the forecast error by approximately 22%. The Prophet model is then introduced into the prediction of futures price series, and the Haar wavelet and KS (HWKS) algorithm and sliding window are used to optimize the change-point selection of the Prophet model. Finally, we created different combinations of long short-term memory (LSTM) and HW-Prophet models based on residual correction and optimal weighting. The results showed that the combined residual correction method was unsuitable for the two single models in this study. Because the residual sequence predicted by the HW-Prophet model is similar to white noise, it is difficult for LSTM to learn the effective dynamic laws from it. By minimizing the error sum of squares to solve the optimal weight coefficients and combining the two models linearly, the prediction advantages of a single model in different intervals can be effectively transmitted, and the prediction accuracy is greatly improved. The HW-Prophet-LSTM combination model constructed in this study based on the optimal weight is currently one of the best models for predicting the long-term trends of Shanghai crude oil futures.