bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUASI MANAJEMEN REKAYASA LALU LINTAS DI CBD KOTA SEMARANG DENGAN APLIKASI CONTRAM
Authors: Anwar Achmad Choliq , Mudiyono Rachmat , Soedarsono Soedarsono
Published: June 2023

One of the centers of economic activity in Semarang City is the Tugu Muda Central Business District (CBD) area which is located on the Imam Bonjol, Captain Piere Tendean, and Pemuda roads. This area is a center of community movement which has a very high traffic pull generation, causing congestion. The Semarang City Government since 2017 until now (2022) has implemented a One Way System in the area. Therefore, it is necessary to evaluate the existing traffic services after 5 years of implementation.

This research was conducted to determine the effectiveness and efficiency of the existing One Way Traffic System during the morning peak hour. The trick is to compare performance using 2 alternative scenarios. Alternative I uses a two-way system without parking lanes and Alternative II uses a two-way system with parking lanes. The method used is a case study based on MKJI calculations and the use of the Contram Release 5.09 application.

The results of the analysis show that for the performance of roads (micro), namely V/C Ratio and speed, the One Way System has a better value than Alternative I and Alternative II. For road network performance (macro) which consists of travel time, mileage, network speed, and fuel consumption also has a better value. One Way System after 5 years is still feasible.
PENGARUH SABUT KELAPA DAN CANGKANG TELUR PADA BRIKET BERBAHAN DASAR ABU KETEL
Authors: Martini Ninik , Sulistyorini Elisa
Published: June 2023

Abu ketel adalah limbah pabrik gula yang dapat dimanfaatkan kembali untuk membuat briket. Briket dengan bahan dasar abu ketel dapat dicampurkan dengan bahan lain, sebagai contoh sabut kelapa dan cangkang telur. Komposisi campuran briket adalah 85%, 75%, dan 65% abu ketel. Masing-masing variasi briket diuji menggunakan bomb kalorimeter supaya dikethui nilai kalornya. Satu variasi briket diuji sebanyak tiga kali. Dari percobaan, nilai kalor tertinggi terdapat pada variasi briket dengan campuran yaitu 75% abu ketel dan 25% sabut kelapa dengan nilai kalor rata-rata 2153,33 kal/gr. Sedangkan nilai kalor rata-rata terendah terdapat pada campuran 65% abu ketel dan 45% cangkang telur, yaitu 1053,6 kal/gr. Kata Kunci: Abu ketel, Briket, Sabut Kelapa, Cangkang Telur, Nilai Kalor
STUDI PENGARUH GYPSUM DAN SERBUK BESI TERHADAP TAHANAN PENTANAHAN DI PERUMAHAN BAKRIE
Authors: Putra Saiful Ade , Erhaneli Erhaneli
Published: June 2023

Sistem pembumian memegang peran yang sangat penting dalam usaha pengamanan dan perlindungan perangkat listrik dari gangguan lonjakan arus listrik, Salah satu upaya  menurunkan nilai tahanan tanah adalah dengan  menambahkan gypsum dan serbuk besi sebagai solusi  menurunkan nilai tahanan tanah. Penelitian ini bertujuan untuk mengetahui perbandingan nilai tahanan pembumian dengan penambahan zat aditif berupa gypsum, serbuk besi dan campuran. Jadi teknik pengumpulan data yang dilakukan dalam penyusunan Tugas Akhir yaitu metode Observasi, Pengukuran, dan Dokumentasi pada pentanahan rumah tangga dengan pemakaian daya 900 VA. Dari hasil pengukuran yang dilakukan maka nilai tahanan gypsum lebih besar dari pada nilai tahanan pentanahan dalam keadaan normal, diberi serbuk besi dan campuran, hasil pengukuran dapat dilihat bahwa bahan campuran gypsum dan serbuk besi lebih baik dari pada bahan gypsum dan serbuk besi dari pengukuran sebelum dan sesudah diberi gypsum, serbuk besi dan campuran maka keadaan sebelum diberi gypsum lebih kecil dari pada sesudah diberi gypsum, dan keadaan sebelum diberi serbuk besi dan campuran lebih besar dari pada sesudah di beri serbuk besi dan campuran, maka dari seluruh percobaan penambahan zat adiktif berupa gypsum, serbuk besi dan campuran bahan yang paling bagus digunakan untuk penurunan nilai tahanan pentanahan adalah campuran gypsum dengan serbuk besi.
STUDI EVALUASI SISTEM PEMBANGKIT HYBRID PLN DAN PLTMH DENGAN APLIKASI HOMER
Authors: Haliim Reo Naldy , Syofian Andi
Published: June 2023

Penelitian adalah suatu tahapan untuk menyelesaikan permasalahan yang kompleks. pada setiap permasalahan harus dipadukan dengan teori yang digunakan.  Berikut tahapan-tahapan dalam pemodelan PLTMH menggunakan Homer.Berdasarkan pegukuran data serta analisis perhitungan yang telah dilakukan, PLTMh Salido Kecil Kec. IV Jurai Kabupaten Pesisir Selatan, mampu menghasilkan daya sebesar 390,20kVA dengan debit air 0,429m3/s dan tinggi jatuhnya air 99M, dengan efisiensi sebesar 92,39%. PLTMh ini menggunakan turbin berjenis Pelton dengan putaran 750RPM yang diproduksi oleh CV. Briegleb, Hansen & Co (Gotha,Germany) dan MAN Machinen Fabrik (augsburg/Nuemberg, Germany) sedangkan generator dengan tipe Brushless Synchonous Alternator dengan kapasitas daya 400kVA. Dan untuk panjang pipa pesat pada PLTMH tersebut berkisar sepanjang 342m serta memiliki ketinggian heat 99m, kemudian untuk debit air yang digunakan untuk memutar turbin PLTMH tersebut memiliki debit sebesar 0,429m3/s.  kesimpulan dari penelitian ini adalah sebagai berikut :Berdasarkan dari jumlah debit air dan tinggi jatuh air, diperoleh PLTMh mampu menghasilkan daya sebesar 390, 20kVA dari kapasitas generator1 420kVA. generator2 400KVA generator3 400kVA Daya yang mampu dibangkitkan pergenerator dengan hitungan secara manual yaitu 312,16 kW dengan cosp 0,8 untuk generator 1 dan 2 sedangkan generator3 cosp 0,9 Efisiensi yang didapat pada PLTMh Salido Kecil Kec. IV Jurai Kabupaten Pesisir Selatan sebesar 92,39%
ANALISA REKONFIGURASI JARINGAN DISTRIBUSI 20kV DI PT PLN SUNGAI RUMBAI
Authors: Hidayat Taufik , Sofyan Andi
Published: June 2023

Jaringan distribusi tenaga listrik merupakan komponen sistem tenaga listrik yang berfungsi sebagai pendistribusi atau penyalur tenaga listrik dari gardu induk menuju konsumen. Jaringan distribusi terdiri dari jaringan distribusi primer yang memiliki tegangan kerja 20 kV dan jaringan distribusi sekunder yang memiliki tegangan kerja 380/220 Volt.  Kualitas tenaga listrik yang diterima oleh pelanggan sangat dipengaruhi oleh kondisi jaringan distribusi. Rekonfigurasi dapat merubah parameter-parameter saluran distribusi antara lain, seperti impedansi dan arus penyulang. Akibat perubahan kedua parameter tersebut, akan turut merubah rugi daya dan jatuh tegangan pada penyulang, keseimbangan arus phasa dan keseimbangan arus penyulang serta arus hubung singkat pada sisi ujung penyulang. Kondisi jaringan distribusi yang tidak optimal akan mengakibatkan pelayanan yang kurang efektif pula, salah satunya karena akibat adanya jatuh tegangan dan rugi-rugi daya.
ANALISIS PERBANDINGAN ALTERNATIF PERKUATAN STABILITAS LERENG PADA REST AREA JALAN TOL SEMARANG – SOLO (Studi Kasus Rest Area Km. 456)
Authors: Murti Angga Wisnu , Adi Henny Pratiwi , Niam M. Faiqun
Published: June 2023

Soil/slope stabilization is a method used to increase the bearing capacity of a soil layer by giving special treatment to the soil layer. This study aims to determine the criteria for selecting the type of reinforcement, the advantages and disadvantages of geotextile woven reinforcement, gabions and geoframes, as well as to determine the priority order of slope reinforcement based on existing criteria in the construction work of the Semarang - Solo km toll road rest area. 456. The data in the study were obtained through a questionnaire with the respondents of this study consisting of 10 people who came from the job owner, job executor and work supervisory consultant. To choose slope stability reinforcement there are 5 criteria, namely cost, implementation time, labor, availability of materials and functions. The type of reinforcement used there are 3 alternatives including woven geotextiles, gabions and geoframes. Data analysis using AHP (Analitycal Hierarchy Process) method, data processing using Expert Choice software. The results of this study indicate that the woven geotextile reinforcement function criteria are superior with a weight of 0.375. Then from the criteria for the implementation of superior woven geotextile reinforcement with a weight of 0.587. Woven geotextiles are also superior in terms of labor and material availability with weights of 0.510 and 0.586, respectively. Meanwhile, in the criteria of superior gabion reinforcement function with a weight of 0.456. Woven geotextile reinforcement is the first priority based on the above criteria with a weight of 0.41,the priority of selecting the second reinforcement using gabions with a weight of 0.341 and strengthening using a geoframe is on the third priority with a weight of 0.248. While the realization in the field the use of woven geotextiles and geoframes is the most widely used compared to using gabions.
APLIKASI PENCARIAN JUDUL TUGAS AKHIR MAHASISWA BERBASIS VISUAL STUDIO 2012 DAN MYSQL
Authors: Siska Sri Tria , Budiman Arif , Fenia Hilda
Published: June 2023

The application to search for student final assignment titles at the Payakumbuh College of Technology is still being done manually, namely written in a book that has been provided by the admin of the computer engineering study program, thus storing the data has not been computerized so that it can result in human error. Therefore, it is felt less effective and efficient. Because in searching for data for the title of the final assignment, you have to look at it one by one so that there are no similarities between other upper-level students, to do the search takes a relatively long time, the data stored in the book can also be lost by the computer engineering study program admin. So there is a need for an application to search for student final assignment titles at the Payakumbuh College of Technology using Visual Studio 2012 and MySQL. The existence of this search application makes it easier for the computer engineering study program admin to see lists of names of students who have taken the title of the final assignment. The admin of the computer engineering study program can make a search in a short time and doesn't take a long time. In addition, the admin of the computer engineering study program can also perform data archiving by inputting the data into this application, be it student data, lecturer data and title data so that it can overcome the loss of data. The data that has been input can also be printed according to annual data and individual data.
Mechanical Characterization of Luffa-Bagasse Fiber Reinforced Polymer Based Hybrid Composite
Authors:   Department of Knitwear Engineering, BGMEA University of Fashion and Technology, Dhaka, Bangladesh, Haque Siddika , Karim Fahmida-E ,   Department of Textile Engineering, BGMEA University of Fashion and Technology, Dhaka, Bangladesh, Islam Md. Redwanul ,   Department of Textile Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh, Siddique Abu Bakr ,   Department of Textile Engineering, BGMEA University of Fashion and Technology, Dhaka, Bangladesh
Published: June 2023

This research used agricultural wastes as reinforcements and epoxy polymer as a matrix to manufacture environmentally friendly composites. The fibre mat of the commonly cultivated crop Luffa aegyptica contains bundles of cellulosic fibrils with increased strength and initial modulus. The sugar industry employs sugarcane principally, but it also contains fibrous parts called bagasse that are considered agricultural waste after the juice from the cane is squeezed out. This sugarcane agricultural waste can be used for a wide range of sustainable purposes. In this research, hybrid composites reinforced with waste bagasse fibre and Luffa aegyptica fibre were created in various volume fractions (5%, 10%, 15%, 20%, and 25% weight percentages of the final composite) to assess their morphological and mechanical characteristics. Researchers have experimented with a luffa or bagasse fibre-based composites independently, but the hybrid composites used in this research (both luffa and bagasse fibre) are unique and have never been seen before. Tests using compression, tensile, flexural, and scanning electron microscopy provided varying results. The luffa-bagasse combination showed enhanced compression strength when results were compared to those from some related works (using various combinations of hybrid fibres).
Do Population Policies Matter? Fertility and Politics in Egypt, India, Kenya, and Mexico
Authors: Jain Anrudh K.
Published: June 2023

How are effective population policies articulated and implemented? Have international agencies played a strong role in prompting developing-country governments to adopt and implement strong population policies? How has the international debate influenced deliberations on population issues in developing countries? The impetus for the four country studies presented in this book was provided by a desire to better understand some of these issues within specific contexts. Egypt, India, Kenya, and Mexico were selected because of their demographic weight, a long history of population policies and programs, and evidence of fertility decline. The four country studies examine the influence of many forces on the design and implementation of population policies. The authors extrapolate from their findings to speculate on the future of population policy within the countries under consideration.
Perspectivas de Salud Mental y Comunicación de Jóvenes Investigadores
Authors: Torres Morimitsu Daniela
Published: June 2023

El presente capítulo abarca el estado del arte frente a los instrumentos existentes que miden la agresión, ira y violencia; debido al impacto social de la agresión, la ira y la violencia en la sociedad, diversas disciplinas como la psicología, la genética, la sociología, la criminología, la neurología, la filosofía, entre otras, estudian cómo poder explicarlas y predecirlas. A partir de la lectura de texto completo y considerando los criterios de inclusión y exclusión, se seleccionaron N=115 artículos por relevancia temática a través del método PRISMA. Se encontró que los instrumentos más utilizados son el Cuestionario de agresión de Buss y Perry, Cuestionario de agresión reactiva y proactiva-RPQ, STAXI-2, Conflict Tactics Scale y herramientas cualitativas como entrevistas y grupos focales. Los principales hallazgos demuestran que la violencia, la agresión o la ira no se evalúan como constructos unificados, sino que se encuentran conformados por diferentes componentes. Cabe resaltar que el empleo de instrumentos de medición de otros constructos que se relacionan con la violencia, ira y agresión también aportan teóricamente, lo que posibilita que los programas de intervención puedan estar mejor guiados y orientados dependiendo de su especificidad. Por otro lado, se sugieren directrices a la hora de establecer programas de prevención, como por ejemplo en el caso de violencia de pareja íntima, violencia de género o violencia doméstica, es posible modificar el sistema de valores y representaciones sociales acerca de su rol social.
The Role of Antimullerian Hormone in the Diagnosis of Poly Cystic Ovarian Syndrom.
Authors: Al-Taee Hanan A.
Published: June 2023

Background: Polycystic vary syndrome (PCOS) is a common endocrine disorder, affecting up to 10% of women of reproductive age. The cardinal features of PCOS are hyperandrogenism (HA) and oligo-anovulation. Many work teams recently have relate the severity of PCOS with Anti mullerian hormone (AMH) or antral follicle count (AFC). Objective: 1) to confirm if there is an increase of serum AMH in this group of patients with PCOS, 2) to relate the AMH level to the follicle status at ultrasound (U/S) in this group, and 3) to search if AMH or AFC can serve as surrogate for the definition of PCOS. 
Patients and methods: Twenty five (control) and another 45 participants (with PCOS) were selected for this study. The control women had a mean age of 32.5 year (yr) and the patients group women had a mean age of 28.4 yr. Blood samples were collected from all participants, anthropometric measurements were calculated, and transvaginal U/S was performed to measure the AFC during the early follicular phase. The blood samples were assayed for AMH, follicle-stimulating hormone (FSH), Luteinizing Hormone (LH) and estradiol (E2) and total testosterone (TT).
Results: Basal serum hormonal levels of LH, AMH and TT as well as AFC were significantly higher in the study group than in controls. While basal serum levels of E2 and FSH show no significant difference between the two groups. Body mass index (BMI) is significantly higher in PCOS patients. Basal serum levels of AMH  show significant positive correlation with both AFC and basal serum TT levels.The area under the receiver operating characteristic curve (ROCAUC ) for AMH and AFC show significant sensitive and specificities
Conclusion: serum AMH and AFC appear as a sensitive and specific parameter that would probably help in the diagnosis of PCOS. Both criteria need to be incorporated into the Rotterdam definition for PCOS, and it indicates PCOS only if associated with HA and/or oligo-anovulation.
Recent advances of ML and DL approaches for Arabic handwriting recognition: A review
Authors: Mezghani Anis , Maalej Rania , Elleuch Mohamed , Kherallah Monji
Published: June 2023

Handwritten text recognition remains a popular area of research. An analysis of these techniques is more necessary. This article is practically interested in a bibliographic study on existing recognition systems with the aim of motivating researchers to look into these techniques and try to develop more advanced ones. It presents a detailed comparative study carried out on some Arabic handwritten character recognition techniques using holistic, analytical and a segmentation-free approaches. In this study, first, we show the difference between different recognition approaches: deep learning vs machine learning. Secondly, a description of the Arabic handwriting recognition process regrouping pre-processing, feature extraction and segmentation was presented. Then, we illustrate the main techniques used in the field of handwriting recognition and we make a synthesis of these methods.
An optimized efficient combinatorial learning using deep neural network and statistical techniques
Authors: V K Jyothi , Sarma Guda Ramachandra Kaladhara
Published: June 2023

Research work is to discover the rapid requirement of Artificial Intelligence and Statistics in medical research. Objective is to design a diagnostic prediction system that can detect and predict diseases at an early stage from clinical data sets. Some of major diseases leading reasons of death globally are heart disease and cancer. There are different kinds of cancer, in this study we focused on breast cancer and heart disease. Prediction of these diseases at a very early stage is curable and preventive diagnosis can control death rate. Designed two Artificial Intelligence systems for prediction of above-mentioned diseases using statistics and Deep neural networks (i) Combinatorial Learning (CLSDnn) and (ii) an optimized efficient Combinatorial Learning (eCLSDnn). To evaluate the performance of the proposed system conducted experiments on three different data sets, in which two data sets are of breast cancer namely, Wisconsin-data set of UCI Machine Learning repository and AI for Social Good: Women Coders’ Bootcamp data set and Cleveland heart disease data set of UCI Machine Learning repository. The proposed architectures of binary classification are validated for 70%–30% data splitting and on K-fold cross validation. Recognition of Malignant cancerous tumors CLSDnn model achieved maximum accuracy of 98.53% for Wisconsin data set, 95.32% for AI for Social Good: Women Coders’ data set and 96.72% for Cleveland data set. Recognition of Malignant cancerous tumors eCLSDnn model achieved 99.36% for Wisconsin data set, 97.12% for AI for Social Good: Women Coders’ data set and 99.56% for the Cleveland heart disease data set.
RegRL-KG: Learning an L1 regularized reinforcement agent for keyphrase generation
Authors: Yao Yu , Yang Peng , Zhao Guangzhen , Leng Juncheng
Published: June 2023

Keyphrase generation (KG) aims at condensing the content from the source text to the target concise phrases. Though many KG algorithms have been proposed, most of them are tailored into deep learning settings with various specially designed strategies and may fail in solving the bias exposure problem. Reinforcement Learning (RL), a class of control optimization techniques, are well suited to compensate for some of the limitations of deep learning methods. Nevertheless, RL methods typically suffer from four core difficulties in keyphrase generation: environment interaction and effective exploration, complex action control, reward design, and task-specific obstacle. To tackle this difficult but significant task, we present RegRL-KG, including actor-critic based-reinforcement learning control and L1 policy regularization under the first principle of minimizing the maximum likelihood estimation (MLE) criterion by a sequence-to-sequence (Seq2Seq) deep learnining model, for efficient keyphrase generation. The agent utilizes an actor-critic network to control the generated probability distribution and employs L1 policy regularization to solve the bias exposure problem. Extensive experiments show that our method brings improvement in terms of the evaluation metrics on five scientific article benchmark datasets.
Dynamic mutual information-based feature selection for multi-label learning
Authors: Kim Kyung-Jun , Jun Chi-Hyuck
Published: June 2023

In classification problems, feature selection is used to identify important input features to reduce the dimensionality of the input space while improving or maintaining classification performance. Traditional feature selection algorithms are designed to handle single-label learning, but classification problems have recently emerged in multi-label domain. In this study, we propose a novel feature selection algorithm for classifying multi-label data. This proposed method is based on dynamic mutual information, which can handle redundancy among features controlling the input space. We compare the proposed method with some existing problem transformation and algorithm adaptation methods applied to real multi-label datasets using the metrics of multi-label accuracy and hamming loss. The results show that the proposed method demonstrates more stable and better performance for nearly all multi-label datasets.
Safe co-training for semi-supervised regression
Authors: Liu Liyan , Huang Peng , Yu Hong , Min Fan
Published: June 2023

Co-training is a popular semi-supervised learning method. The learners exchange pseudo-labels obtained from different views to reduce the accumulation of errors. One of the key issues is how to ensure the quality of pseudo-labels. However, the pseudo-labels obtained during the co-training process may be inaccurate. In this paper, we propose a safe co-training (SaCo) algorithm for regression with two new characteristics. First, the safe labeling technique obtains pseudo-labels that are certified by both views to ensure their reliability. It differs from popular techniques of using two views to assign pseudo-labels to each other. Second, the label dynamic adjustment strategy updates the previous pseudo-labels to keep them up-to-date. These pseudo-labels are predicted using the augmented training data. Experiments are conducted on twelve datasets commonly used for regression testing. Results show that SaCo is superior to other co-training style regression algorithms and state-of-the-art semi-supervised regression algorithms.
Filter pruning via feature map clustering
Authors: Li Wei , He Yongxing , Zhang Xiaoyu , Tang Yongchuan
Published: June 2023

With the help of network compression algorithms, deep neural networks can be applied on low-power embedded systems and mobile devices such as drones, satellites, and smartphones. Filter pruning is a sub-direction of network compression research, which reduces memory and computational consumption by reducing the number of parameters of model filters. Previous works utilized the “more-simple-less-important” criterion for pruning filters. That is, filters with the smaller norm or more sparse weights in the network are preferentially pruned. In this paper, we found that feature maps are not fully positively correlated with the sparsity of filter weights by observing the visualization of feature maps and the corresponding filters. Hence, we came up with the idea that the priority of filter pruning should be determined by redundancy rather than sparsity. The redundancy of a filter is the measure of whether the output of the filter is repeated with other filters. Based on this, we defined a criterion called redundancy index to rank the filters and introduced it into our filter pruning strategy. Extensive experiments demonstrate the effectiveness of our approach on different model architectures, including VGGNet, GoogleNet, DenseNet, and ResNet. The models compressed with our strategy surpass the state-of-the-art in terms of Floating Point Operations Per Second (FLOPs), parameters reduction, and classification accuracy.
Trajectory personalization privacy preservation method based on multi-sensitivity attribute generalization and local suppression
Authors: Yu Qingying , Yang Feng , Xiao Zhenxing , Gong Shan , Sun Liping , Chen Chuanming
Published: June 2023

Fast-developing mobile location-aware services generate an enormous volume of trajectory data while adding value to people’s lives. However, trajectory data contains not only location information, but also sensitive personal information. If the original trajectory data is published directly, it could result in serious privacy leaks. Most of the existing privacy-preserving trajectory publishing methods only protect the location information or set the same privacy preservation levels for all moving objects. To meet the users’ personalized privacy requirements and ensure the utility of trajectory location and sensitive information, we propose a trajectory personalized privacy preservation method based on multi-sensitivity attribute generalization and local suppression. First, we set different security levels for each trajectory by calculating the correlation between sensitive attributes to establish a sensitive attribute classification tree. Second, we generalized sensitive attributes based on privacy preservation levels for each trajectory, the trajectory data still at risk of privacy leakage after generalization was locally suppressed. Finally, an anonymized trajectory dataset was generated. Experimental results on real datasets demonstrated that our method could improve data availability while preserving privacy.
Active ordinal classification by querying relative information
Authors: He Deniu
Published: June 2023

Collecting and learning with auxiliary information is a way to further reduce the labeling cost of active learning. This paper studies the problem of active learning for ordinal classification by querying low-cost relative information (instance-pair relation information) through pairwise queries. Two challenges in this study that arise are how to train an ordinal classifier with absolute information (labeled data) and relative information simultaneously and how to select appropriate query pairs for querying. To solve the first problem, we convert the absolute and relative information into the class interval-labeled training instances form by introducing a class interval concept and two reasoning rules. Then, we design a new ordinal classification model for learning with the class interval-labeled training instances. For query pair selection, we specify that each query pair consists of an unlabeled instance and a labeled instance. The unlabeled instance is selected by a margin-based critical instance selection method, and the corresponding labeled instance is selected based on an expected cost minimization strategy. Extensive experiments on twelve public datasets validate that the proposed method is superior to the state-of-the-art methods.
Research on bionic flower interaction technology based on linkage mechanism
Authors: Cai Dongna , Zhang Shihan
Published: June 2023

In this paper we have designed an interactive device of bionic flower based on linkage mechanism by studying the shape and structure of flowers. Firstly, in order to solve the problem of variable morphology of the bionic flower, we have built the internal skeletal structure of the bionic flower in accordance with the working principle of the hinge linkage mechanism; secondly, based on the internal skeletal structure, we have tested a variety of ductile materials, and identified the multifunctional paper material that can be shape-shifting and color-changing; thirdly, we have used the key technology of Arduino to build the intelligent sensors and hardware, and solved the opening and closing sequence and response range of multiplecluster interactive objects. This article research provides new ideas for the display of flower and plant science to the public from the perspective of bionics, and gives new application areas and cultural values to the interactive bionic design of plants and flowers.
Trapezoidal neutrosophic assignment problem with new interval arithmetic costs
Authors: Sinika S. , Ramesh G.
Published: June 2023

Due to present condition, the expenses of allocating a job to a specific person or scheduling transport with a precise value may result in ambiguity. To deal with this, neutrosophic sets which is an extended form of fuzzy sets, appear alongside membership, non-membership and indeterminacy. The assignment problem in a trapezoidal neutrosophic environment with cost as the trapezoidal neutrosophic numbers is discussed in this work. The paper’s motive is to convert the trapezoidal neutrosophic numbers into new interval arithmetic form and the efficiency of the same is shown by comparing the existing method with other assignment models using examples.
Contract flexibility for dispute resolution based on governance theory in China
Authors: Tang Bingsong , Li Nan
Published: June 2023

Disputes are inevitable in construction. Tremendous losses caused by dispute are so amazing that professionals try to figure out how to manage it. It is a practical way to study the dispute problem from the perspective of governance theory. In this study, the paper intends to investigate the characteristics of contractual governance for disputes. Based on governance theory, the framework of contractual governance for dispute is constituted of governance structure (GS) and governance mechanism (GM). The flexibility of GS and GMs are all explored so as to better draft the contracts. By a multiple cases study, a new conceptual model instructing governance picture for construction disputes was proposed which was mainly inspired from literature. The cases study shows that the GS determination is rigidly drafted and executed while the mostly GMs are flexibly designed. The rigid GS has an advantage to a stable foundation and the flexible GMs are apt to coordinate the disputes.
Research on the problem of aggregation of multiple rules in fuzzy inference systems
Authors: Deng Guannan , Zhang Mei , Meng Xiangqi , Yuan Jiaming
Published: June 2023

In this paper, we establish the matching relation between implication operator and aggregation operator, which provides a new solution for the design and construction of multi-rule fuzzy inference system. Firstly, according to the definition and monotonicity of implication operator, a new classification method of implication operator is proposed, and then the fuzzy inference process using different implication operators is classified. Then, dynamic maximum aggregation operator and dynamic minimum aggregation operator are proposed. Based on the compositional rule of inference (CRI) method, a matching method and basis of implication operator and aggregation operator for fuzzy inference systems is given and illustrated with examples. Finally, the applicability of the proposed method in this paper is further illustrated by comparing the method with existing methods in the literature and using the nearness degree as an evaluation index.
Cooperative attack based on small-unit UAV swarms formation with trajectory tracking
Authors: Long Xiaoqing , Gao Fei
Published: June 2023

Cooperative attack with unmanned aerial vehicles (UAVs) plays a critical role in modern military warfare. To achieve multi-swarm cooperative attack with obstacle avoidance of formation, this paper proposes a cooperative control strategy that integrates flight control and autonomous marshaling. Firstly, an improved dynamics model with virtual leader-following mode is constructed to achieve obstacle avoidance of the formation. And an improved interference fluid dynamic system (IIFDS) is applied to improve path selectivity during multi-swarm attack. Secondly, a two-layer attack framework based on distributed swarm coordinated trajectory tracking with heading angle constraints is designed to achieve autonomous clustering of the UAVs and target striking. Finally, the proposed improved dynamics model is compared with the particle swarm optimization (PSO) algorithm and artificial potential field (APF) method in terms of obstacle avoidance of formation to demonstrate its superiority, which can obtain better benefits. Furthermore, two simulations of multi-swarm cooperative attack are conducted to validate the effectiveness of the control strategy. The proposed method expands the application of UAVs attack with obstacle avoidance of formation and provides a valuable reference for modern military operations.
Detection of apple moldy cores using transmittance spectroscopy combined with supervised classifier comparison and parameter optimization
Authors: Tian Jie , Hu Qiu-Xia
Published: June 2023

It is difficult to determine which apples have moldy cores just by looking at the outside of the apple. In the present study, we investigated identifying moldy cores using near-infrared transmittance spectra. First, input spectral features selected by noise adjusted principal component analysis (NAPCA) for back propagation artificial neural network (BP ANN) was used to reduce the dimensions of the original data. Then, four factors and five levels uniform design of the input nodes, training functions, transfer layer functions and output layer functions for NAPCA-BP ANN optimization is proposed. And the original data were input into NAPCA-BP ANN to obtain the recognition accuracy and NAPCA-support vector machine (SVM) was as a comparative recognition model. The results showed that through the uniform design-based NAPCA-BP ANN optimization, the NAPCA method had higher identification accuracy, precision, recall and F1 score, than either full spectrum or principal component analysis. Being assessed by different ratio of model test, functions in the hidden layer and output layer of NAPCA-BP ANN, the proposed method achieved the best accuracy to 98.03%. The accuracy, precision, recall and F1 score based on NAPCA-BP ANN were 3.92%, 2.86%, 2.78% and 2.82% higher than those based on NAPCA-SVM, respectively. This method provides a theoretical basis for the development of on-line monitoring of the internal quality of apples.
RETRACTED: Triple trustworthiness evaluation for knowledge graph of industrial domain
Authors: Wang Chu , Wang Jian
Published: June 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Operational profile development methodology for normative multi-agent systems
Authors: Menassel Yahia , Marir Toufik , Mokhati Farid
Published: June 2023

Software reliability refers to the ability of a system to perform its intended function under specified conditions for a specified period of time. The first critical step in the software reliability testing process is to create a Software Operational Profile (SOP). Several methodologies for creating SOP have been proposed. Nonetheless, nearly all the proposed studies have neglected the uniqueness of the new software paradigms, despite the fact that these are generally distinguished by their own concepts and methodologies. One of these software paradigms is multi-agent systems. Rather than using a generic one, it would be more useful to propose a specific methodology for creating SOP. In this paper, we propose a methodology for developing Operational Profile for specific kinds of multi-agent systems (so-called normative multi-agent systems). A detailed case study is used to demonstrate this methodology.
Analysis and classification of arrhythmia types using improved firefly optimization algorithm and autoencoder model
Authors: Sinnoor Mala , Janardhan Shanthi Kaliyil
Published: June 2023

In the present scenario, Electrocardiogram (ECG) is an effective non-invasive clinical tool, which reveals the functionality and rhythm of the heart. The non-stationary nature of ECG signal, noise existence, and heartbeat abnormality makes it difficult for clinicians to diagnose arrhythmia. The most of the existing models concentrate only on classification accuracy. In this manuscript, an automated model is introduced that concentrates on arrhythmia type classification using ECG signals, and also focuses on computational complexity and time. After collecting the signals from the MIT-BIH database, the signal transformation and decomposition are performed by Multiscale Local Polynomial Transform (MLPT) and Ensemble Empirical Mode Decomposition (EEMD). The decomposed ECG signals are given to the feature extraction phase for extracting features. The feature extraction phase includes six techniques: standard deviation, zero crossing rate, mean curve length, Hjorth parameters, mean Teager energy, and log energy entropy. Next, the feature dimensionality reduction and arrhythmia classification are performed utilizing the improved Firefly Optimization Algorithm and autoencoder. The selection of optimal feature vectors by the improved Firefly Optimization Algorithm reduces the computational complexity to linear and consumes computational time of 18.23 seconds. The improved Firefly Optimization Algorithm and autoencoder model achieved 98.96% of accuracy in the arrhythmia type classification, which is higher than the comparative models.
A testing framework for JADE agent-based software
Authors: Kalache Ayyoub , Badri Mourad , Mokhati Farid , Babahenini Mohamed Chaouki
Published: June 2023

Multi-agent systems are proposed as a solution to mitigate nowadays software requirements: open and distributed architectures with dynamic and adaptive behaviour. Like any other software, multi-agent systems development process is error-prone; thus testing is a key activity to ensure the quality of the developed product. This paper sheds light on agent testing as it is the primary artefact for any multi-agent system’s testing process. A framework called JADE Testing Framework (JTF) for JADE platform’s agent testing is proposed. JTF allows testing agents at two levels: unit (inner-components) and agent (agent interactions) levels. JTF is the result of the integration of two testing solutions: JAT a well-known framework for JADE’s agent’s interaction testing and UJade, a new solution that was developed for agent’s unit testing. UJade provides also a toolbox that allows for enhancing JAT capabilities. The evidence of JTF usability and effectiveness in JADE agent testing was supported by an empirical study conducted on seven multi-agent systems. The results of the study show that: when an agent’s code can be tested either at agent or unit levels UJade is less test’s effort consuming than JAT; JTF provides better testing capabilities and the developed tests are more effective than those developed using UJade or JAT alone.
Calisthenics versus Pilates training on glycemic control and body fat in overweight individuals with type 2 diabetes mellitus
Authors: Kamat Kinjol , Kage Vijay , Sequeira Sherin
Published: June 2023

BACKGROUND:

Physical activity plays an important role in management and preventing complications of type 2 diabetes mellitus (DM). Effectiveness of Pilates on DM showed that there was improvement in glucose control. Presently, resistance training forms are becoming very popular for weight loss and DM. Calisthenics is a relatively new form of resistance exercise training that has been less studied in obese and diabetic individuals.

STUDY PURPOSE:

To evaluate and compare the effect of Calisthenics and Pilates training approaches on percentage body fat and glycemic control (HbA1C, Post Prandial Blood Glucose (PPBG)) in overweight individuals with type 2 Diabetes mellitus (DM).

METHODS:

Thirty ( n = 30) over weight individuals with type 2 DM with HbA1C levels >6.5% were recruited for the study. The participants were randomly allocated to calisthenics (CG) and Pilates (PG) study groups who received respective exercise interventions for 12 weeks. The outcome measures were HbA1C, PPBG and percentage body fat assessed at pre and post intervention.

RESULTS:

Both CG and PG study groups showed statistically significant difference for glycemic control (HbA1C, PPBG) post 12 week intervention. However, significant improvement was noted in CG than PG in terms of HbA1c ( p = 0.03), PPBG ( P = 0.01) and body fat percentage ( p < 0.0001).

CONCLUSION:

Calisthenics exercise training was more effective than the Pilates training in achieving long term (HbA1c) and post meal (PPBS) glycemic control with significant reduction in body fat percentage in overweight individuals with type 2 DM.
Skin blood flow as an objective measure for lateral elbow tendinopathy
Authors: Sakulsriprasert Prasert , Bunprajun Tipwadee , Soonthonsawat Subkamon
Published: June 2023

PURPOSE:

To investigate the test-retest reliability, side-to-side difference, responsiveness, and concurrent validity of skin blood flow (SkBF) measured by laser Doppler flowmetry (LDF) in individuals with acute or subacute lateral elbow tendinopathy (LET).

METHODS:

Eighteen individuals with acute or subacute LET were recruited for this study. SkBF was measured over the lateral epicondyle and common extensor origin on both ipsilateral and contralateral sides. The intraclass correlation coefficient (ICC3,1) was used to evaluate test-retest reliability. A paired t-test was used for comparing the side-to-side difference. Responsiveness was reported with a change score, paired t-test, effect size (ES), and standardized response mean (SRM). The concurrent validity of SkBF was investigated by correlating with a visual analog scale (VAS) pain intensity during resisted wrist extension isometric contraction using the Spearman correlation coefficient.

RESULTS:

Test-retest reliability was good at lateral epicondyle (ICC3,1 = 0.899), and at common extensor origin (ICC3,1 = 0.803). A side-to-side difference was found between the two sides ( p < 0.001). For responsiveness, the change score for SkBF at the lateral epicondyle was – 8.04, and the common extensor origin was – 3.54. The ES and SRM ranged from – 0.71 to – 0.78. Concurrent validity was reported with a strong correlation with pain intensity ( r = – 0.637).

DISCUSSION:

SkBF is a reliable and responsive variable for investigating the elbows with acute or subacute LET providing clinical information according to its inflammatory responses. However, the concurrent validity can be found only for SkBF at common extensor origin, which correlates with pain during resisted wrist extension isometric contraction.
Assessing lower limb angles from sagittal plane images captured with a smartphone for post-stroke gait
Authors: Kitaji Yu , Sato Haruhiko , Ishida Shinnosuke , Harashima Hiroaki , Miyano Satoshi
Published: June 2023

BACKGROUND:

Clinical gait analysis of sagittal plane lower-limb kinematics using video images is a quantitative tool for clinicians. However, the reliability and validity of limb kinematics after stroke using video images has not been fully investigated.

OBJECTIVE:

This study aimed to examine the within-session inter-rater reliability and criterion-related validity of lower limb angles measured in sagittal plane images captured using a smartphone for assessing post-stroke gait and to determine which asymmetric parameters are associated with faster gait velocity.

METHODS:

Thirty-two patients with stroke were included; video images were recorded as they walked at their preferred pace for 1–3 cycles. Lower limb angles (contact, push-off, and excursion angles) and degree of asymmetry were determined based on video images using markers of acromion, greater trochanter, and fifth metatarsal head. Measurement reliability was calculated using the two-way random effects model of intraclass correlation coefficients and minimal detectable change. The criterion validity investigated Pearson’s correlation between lower limb angles and their asymmetry and gait velocity.

RESULTS:

The lower value of the 95% confidence interval of intraclass correlation coefficients (2.3) of the lower limb was 0.891, and the maximum minimal detectable change was 9.6 degrees. Push-off angle showed a moderate-to-strong correlation with gait velocity, whereas the asymmetry of the push-off angle showed a weak correlation with gait velocity.

CONCLUSIONS:

Assessing post-stroke gait utilizing video images using a smartphone is feasible. The push-off angle, in particular, may provide insight into the clinical assessment of post-stroke gait.
In vitro comparison of antifungal activity of conventional alcohol sprays and antimicrobial photodynamic therapy on acrylic denture resin
Authors: Vellappally Sajith , Naik Sachin , Hashem Mohamed , Fouad Hassan
Published: June 2023

BACKGROUND: Traditionally, alcohol sprays are used for disinfection of acrylic-base denture surfaces. A limited number of studies have assessed the role of antimicrobial photodynamic therapy (aPDT) in this regard; however, it remains debatable whether conventional alcohol sprays are superior to aPDT in terms of antifungal activity or vis versa. OBJECTIVE: The aim of the present in vitro study is to compare the antifungal activity of conventional alcohol sprays and aPDT on acrylic denture resin. METHODS: Individuals wearing complete dentures at least on one arch were included. Dentures were randomly divided into three groups. Groups 1-3 were disinfected with an alcohol-based antiseptic spray and aPDT, respectively. Assessment of oral yeast growth was done using swab samples. The culture mediums were incubated at 37∘C for 72 hours and viewed through a microscope. The numbers of colony forming units (CFU/ml) were determined. P< 0.05 were considered statistically significant. RESULTS: At baseline, the mean CFU/ml in Groups 1–3 were comparable. After disinfection, a statistically significant reduction in microbial CFU/ml was observed in Groups 1 (P< 0.05) and 2 (P< 0.05) compared with baseline. In Group 3, there was no difference in CFU/ml throughout the study. After disinfection, there was no difference in microbial CFU/ml in dentures in Groups 1 and 2. CONCLUSION: Conventional alcohol sprays are as effective as aPDT towards reducing oral yeasts CFU/ml on acrylic denture resin.