bluuebunny/crossref_metadata_2025 huggingface dataset:
Book Reviews
Authors: Klikauer Thomas , Simms Norman , Colla Marcus , Wittstock Nicolas , Specter Matthew , Stanton Kate R. , Bendix John , Schaefer Bernd
Published: March 2022

Heinrich Detering, Was heißt hier “wir”? Zur Rhetorik der parlamentarischen Rechten (Dietzingen: Reclam Press, 2019).

Clare Copley, Nazi Buildings: Cold War Traces and Governmentality in Post-Unification Berlin (London: Bloomsbury Academic, 2020).

Tobias Schulze-Cleven and Sidney A. Rothstein, eds., Imbalance: Germany’s Political Economy after the Social Democratic Century (Abingdon: Routledge, 2021).

Benedikt Schoenborn, Reconciliation Road: Willy Brandt, Ostpolitik and the Quest for European Peace (New York: Berghahn Books, 2020).

Tiffany N. Florvil, Mobilizing Black Germany: Afro-German Women and the Making of a Transnational Movement (Champaign: University of Illinois Press, 2020).

Ingo Cornils, Beyond Tomorrow: German Science Fiction and Utopian Thought in the 20th and 21st Centuries (Rochester, NY: Camden House, 2020).

Christian F. Ostermann, Between Containment and Rollback: The United States and the Cold War in Germany (Stanford, CA: Stanford University Press, 2021).
The role of organic fertilization and arbuscular mycorhizal fungi inoculation on sweet corn growth on rasau series soil | IJAAR
Authors: Rawayau Haruna Yahaya
Published: March 2022

The objective of this research was to determine the effect of organic and bio fertilization on the growth performance of corn planted on Rasau series soil. A factorial experiment of 5 x 2 Randomised Complete Block Design replicated 4 times was conducted at the glasshouse of Universiti Malaysia Terengganu. The factors include organic manure at 5 levels OM1 (control), OM2 (chicken manure), OM3 (cattle manure), OM4 (horse manure) and OM5 (biochar), and arbuscular mycorrhizal Fungi at 2 levels M1 (with) and M2 (without), the variables measured were plant height, stem girth, leaf height, leaf number, leaf length, leaf width and leaf area at 2, 4, 6 and 8 weeks after planting (WAP). The data collected were analyzed using Analysis of Variance (ANOVA) with Statistical Analysis System (SAS) and means separated using Duncan’s Multiple Range Test at p<0.05. The growth performance of the test crop (sweet corn) in this experiment was significant in the measured parameters with chicken manure (OM2) under mycorrhizal inoculation (M1). The result of this study showed chicken manure when inoculated with AMF can boost sweet corn production on Rasau series soil
Increasing the Societal Impact of Science, Technology, Engineering, and Math with General Collective Intelligence
Authors: Williams Andy E
Published: March 2022

This paper explores how a technique called Human-Centric Functional Modeling (HCFM) might be used to radically increase the societal impact of STEM through a kind of biomimicry. HCFM represents systems in terms of functional state spaces, which enables it to be seen that nature has already solved problems that can be represented in these abstract spaces as being relevant to a wide range of science and engineering disciplines. Namely the same general problem of achieving adaptive general problem-solving ability in any domain can be represented as one that had to be solved by nature's equivalent to engineering and research processes in order for organisms to solve the problem of adapting to any aspect of their environments. This solution can be represented as having been used by nature to address complex problems of adaptation, the equivalent of “wicked problems” in human societies from poverty to climate change. Where these complex problems pose existential challenges, nature has not only solved them but has demonstrated the solutions to have worked for hundreds of millions of years. This paper describes how specific patterns in the use of HCFM and General Collective Intelligence (GCI) might be used to approach each of a range of engineering disciplines as well as a range of sciences and potentially mathematics, in order to create the potential to exponentially increase the societal impact of research and engineering activities.
Leveraging General Collective Intelligence to Increase the Impact of Pattern Analysis and Machine Intelligence Algorithms
Authors: Williams Andy E
Published: March 2022

The emerging science of General Collective Intelligence or GCI describes how GCI as a hypothetical cognitive computing platform might enable groups of individuals or intelligent agents working on behalf of those individuals to self-assemble into a massive network of cooperation. Such networks are predicted to be able to radically increase the speed and scale at which the group might construct platforms from a library of logic based functionality (i.e. procedural program) and/or a library of text pattern recognition based functionality (i.e. machine intelligence algorithms), as well as enable groups to do so on a self-sustaining basis, where these self-assembled platforms are also predicted to achieve significantly better outcomes for the group of users. To facilitate this self-assembly, GCI leverages Human-Centric Functional Modeling to represent such components in terms of paths through a functional state space defined to represent all possible behavior of this cognitive computing platform so that all such components can be represented. This article explores how this same approach might be applied to define cognitive visual processing platforms that radically increase capacity to leverage all existing image processing functionality as well as all visual pattern recognition algorithms in order to radically increase capacity for and effectiveness at image recognition.
Sizing of Unit Operations in process engineering using Aspen Plus Simulation
Authors: Labidi Aymen
Published: March 2022

This project deals with the sizing of unit operations in process engineering.Process engineering is the understanding and application of the fundamental principles andlaws of nature that allow us to transform raw material and energy into products that are usefulto society, at an industrial level.By taking advantage of the driving forces of nature such as pressure, temperature and concentration gradients, as well as the law of conservation of mass, process engineers can developmethods to synthesize and purify large quantities of desired chemical products.In this project we will focus in the design, operation, control, optimization and intensificationof chemical processes by designing pipelines in each case study.For Numerical Resolution, will use the chemical process simulator Aspen HYSYS, used tomathematically model chemical processes.We have a multitude of problems to deal with during this project.1. Study of an incompressible fluid flow in a pipeline2. Technology of Heat Exchangers3. Refrigeration cycle
INDIGENOUS PEOPLES OF RUSSIA: SOME ISSUES OF LEGAL REGULATION
Authors:   Siberian Federal University, Drobyshevskij Sergej , Krasovskaya Natal'ya
Published: March 2022

The legal regulation of the indigenous peoples of Russia with regard to ensuring the preservation of their traditional ways of life and customs is imperfect. The article developed a recommendation for its change for the better. For this, a considerable array of, firstly, scientific literature and, secondly, legal norms on the topic has been investigated. The facts discovered by the authors as a result of such a study, such as the widespread non-application by the courts of par. 2 art. 14 of the Federal Law of 30.04.1999 N 82-FZ «Guarantees of the Rights of Indigenous Peoples of the Russian Federation», allowed them to state that the imperfection of the relevant part of domestic law and its implementation is rooted in the legal consciousness of the creators of the legal rules under consideration and those who apply these rules. For both of these categories of lawyers, a common phenomenon is a lack of understanding why the indigenous peoples of Russia deserve legal advantages over the bulk of the Russian population. The thing is the ignorance of creators and enforcers of law about the idea that unequal people will be equal only when their legal position is unequal. Misunderstanding this, lawyers, on the one side, do not establish legal rules adequate to the mentioned idea. On the other side, if they encounter rules that embody it, then they try not to apply these legal provisions. According to the authors of the article, fighting such ignorance is not easy. It can be implemented in part in the course of legal training. The last should focus more on what laws of public life need to be embodied in law, but not on what law is now
Peningkatan Hasil Belajar Permainan Voli Dengan Metode Variasi Di SMA Negeri 2 Siak Hulu
Authors: Yus Yetti
Published: March 2022

The issue is low learning results in volleyball games for students in SMA Negeri 2 Siak Hulu class XI Social Sciences. Most students can't pass over effectively and appropriately, and they're not interested in mastering passing over. Affects student learning outcomes This study aimed to improve the learning outcomes of passing over in volleyball games for SMA Negeri 2 Siak Hulu class XI IPS students. The study ran from July to October 2019. Classroom Action Research) with 59 students from class XI IPS, with 30 from class XI IPS.1 and 29 from class XI IPS.2. The data was collected through observation utilizing a volleyball passing skill test instrument. The results showed that using the variety approach in the volleyball game of passing learning activities increased passing learning outcomes for Class XI Social Sciences students by 72.88 percent in cycle 1, and 89.81 percent in cycle 2. good to excellent category This result suggests that students enjoy the material offered and desire to participate directly in learning since the material is enjoyable. Student engagement increased by 74.58 percent in cycle 1 and by 91.53 percent in cycle 2. Thus, the effective variation approach is employed in class XI IP SMA students to increase learning outcomes of passing over in volleyball.
Towards Better Data Pre-Processing for Building Recipe Recommendation Systems from Industrial Fabric Dyeing Manufacturing Records: Categorization of Coloration Properties for a Dye Combination on Different Fabrics
Authors: Tu Zhiwen , Yin Yawen , Qin Xianan
Published: March 2022

Intelligent manufacturing for the fabric dyeing industry requires high-performance dyeing recipe recommendation systems. Nowadays, recommending dyeing recipes by mining dyeing manufacturing data has become a new direction for the development of recipe recommendation systems. As one of the indispensable parts in the system development, data pre-processing needs more than routine steps such as the removal of missing data and outliers. Considering that dyes can have very different coloration properties on different fabrics, dyeing manufacturing records for a given dye combination to different fabric types should be properly categorized before they are used for training regression models for dyeing recipe prediction. In this paper, we propose a simple but effective method for this categorization work. Our method uses conventional K-means clustering analysis to find fabric types that have similar coloration properties for a given dye combination. We have applied the method on a dye combination formed by Colvaceton reactive dye-navy blue CF (CRD-navy blue), Colvaceton reactive dye-bright red 3BSN150% (CRD-red) and Colvaceton reactive dye-yellow 3RS150% (CRD-yellow) on 28 different types of fabrics. We show that these 28 types of fabrics can be well categorized into 8 groups based on the coloration properties. Our proposed method can be listed as one of the standard data pre-processing steps in the development of data-mining based recipe recommendation systems.
An Uncertain Optimization Model for Low-Carbon Product Family Design
Authors: Wang Qi , Qi Peipei
Published: March 2022

Global warming has attracted more and more people’s attention. Since products are one of the main sources of GHG emission, the firm is seeking appropriate methods to reduce GHG emission of the product. At present, product family design is widely adopted for meeting the various demand of customers. To reduce the GHG emission of products, some methods have been proposed for low-carbon product family design in recently years. In existing research, the related data of low-carbon product family design is given as crisp value. However, in a real environment, some design data can’t be assessed accurately. To this end, this paper proposes a uncertain optimization model for low-carbon product family design. In the model, the related uncertain data for low-carbon product family design is given as interval numbers. Based on the objective of profit and GHG emission, the model can simultaneously determine product family configuration, supplier selection and price strategies of product variants. In addition, the genetic algorithm is developed to solve the established model. Finally, a case study is performed to demonstrate the effectiveness of the proposed approach.
A Robust Defect Detection Method with Dense Differential Siamese Network
Authors: He Juntao , Wang Xiaodong , Zeng Zhiqiang , Yan Fei
Published: March 2022

In the context of defect detection, there is a difficulty in collecting annotated datasets, which leads to limited labeled data. In addition to this, most of the defect detection methods have the problem of missing detailed information about the defects. To cope with these problems, this paper shows a dense differential Siamese network structure for the defect detection of stamping manufacture. In the stamping setting, the foreground of the image frequently changes, while the background remains the same. Based on this finding, we separate the encoding layer of the network into two streams with the same structure and shared weights, so that we can handle the foreground and background image pairs simultaneously. To extract detailed information of defects, we also impose the dense skip connections into our network. Through these skip connections, we can obtain different levels of semantic information and capture more detailed information about the defects. Testing results on the defect dataset collected from real stamping machines show that our method significantly improves over other state-of-the-art methods on several evaluation metrics.
Intelligent Detection Method of Yarn Hairiness Using CenterNet-CBAM
Authors: Tang Jialu , Yang Zhongliang , Zhang Xinyu , Jia Xingli , Zhang Song , Dong Qingqi
Published: March 2022

The detection of yarn hairiness is essential in the production of chemical fiber yarn packages, and it is difficult to detect them because of their small features, which are easy to be missed and confused with another non-defective feature broken ends. To detect defects accurately and efficiently in the appearance of yarn packages, a CenterNet defect detection algorithm (CenterNet-CBAM) combining with attention mechanism is proposed. Two types of confusing target images, “yarn hairiness” and “broken ends”, are collected, and an object detection model based on CenterNet-CBAM is constructed, and the Recall of CenterNet-CBAM in the two categories of “yarn hairiness” and “broken ends” is 90.20% and 85.42%, Precision is 93.88% and 93.48%, AP is 90.91% and 90.93%, and MAP is 90.92% for the two categories, respectively, which were better than CenterNet and YOLOv4, which verified the effectiveness of the experimental method.
Visualization Method of Design Cognitive Process Based on Semantic Circle
Authors: Yao Xuelin , Shen Danni , Yu yuxiang , Zhang Jinyu , Hu Ting
Published: March 2022

The visualization of design cognitive process can help to understand the cognitive style of designers and analyze the causes of design ideas quality. This study aims at understanding the cognitive styles from the perspective of the semantic distance between memory-retrieved precedents and design goal. A protocol study was conducted with 26 master students majoring in industrial design. After obtaining a set of design precedents based on the design goal, the semantic distance between design precedents and design goals was analyzed through semantic network. To describe relevance of the semantic distance to cognitive processes, this study devised a new way called ‘semantic circle diagram.’ It supports intuitive interpretations of design cognitive process and output results, while visualizing the elements of different design stages. Based on semantic circle diagram, the cognitive styles of each participant were derived, and the design ideas quality generated by different cognitive styles was discussed. The results of this study provide an individualized reference for design cognitive research and design thinking education.
A Technology Acceptance Model to Design Evaluation for Health Management Terminal for Elderly in the Community
Authors: Zhou Sheng , Zong Jiecong , Wu Qun
Published: March 2022

Smart terminal for older adults is one of the core touchpoints of the service system, which connects older adults and public services provided by the community. Health Management Terminal for Older Adults in the Community (HMTOAC) is closely related to the health of older adults, and it is an important design issue. However, previous Health Management Terminals (HMT) are not designed for older adults. It is of great scientific significance and extensive application value to deeply explore the real demands of older adults. This research expanded the design process of “exploration-prediction-prototype-evaluation”, and it took the needs of older adults as the starting point. Based on the Technology Acceptance Model (TAM), combined Structural Equation Model (SEM) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), we investigated important influencing factors of HMTOAC design, and established the design evaluation model of the HMTOAC.
Research on the Extraction Strategy of Product Morphological Characteristics Based on Eye Tracking System
Authors: Xu Yangchao , Wu Qun
Published: March 2022

This article mainly takes a textile equipment product as an example to study the strategy of extracting the relevant information of its product morphology characteristics. The research mainly takes the eye tracking system as the main technical means, combined with the methods of perceptual survey, extracts the user’s visual perception information caused by the morphological characteristics of the product. This strategy eliminates the influence of other appearance styling factors, and conducts experiments on the premise that only product shape information is retained to ensure the correlation between the product shape and the user’s visual experience; through the use of eye tracking technology for quantitative analysis and perceptual evaluation research Combining qualitative analysis, and on the basis of saving costs and improving efficiency, it obtains more objective and effective visual feedback information from users on the appearance of the product, provides a more stable and reliable idea for related industrial equipment manufacturers to break through the cost and space restrictions in the product design process to obtain user feedback information, thereby improving the fit between the product appearance and user needs.
Research on Design Evaluation Method of Walking Stick Based on Continuity Theory
Authors: Lin Lu , Wang Yu , Qiu Jiayi , Liu Chao
Published: March 2022

This paper aims to establish an improved innovation design evaluation method based on continuity theory. From the perspective of continuity, we established the mapping relationship between users’ demand for walking AIDS for the elderly and continuity, and established the design model of walking AIDS for the elderly with the introduction of continuity theory. Taking the elderly walking stick as an example, the improvement content of the elderly walking stick design and the continuity factors that affect the use intention are obtained from the two aspects of user continuous satisfaction and use intention, and the flexibility and usability criterion should be followed in the improvement and innovation design of the target walking stick.
Research and Design of Intelligent Products for Sitting Posture Correction
Authors: Chang Jiaqi , Liu Yizhe , Li Jiaqi , Jiang Yan , Liu Yi
Published: March 2022

This paper analyzes the status and causes of improper sitting posture group, and compares the current situation of sitting posture correction products on the market. Based on the Lego EV3 model, the product design is implemented. Three intelligent correction schemes are proposed and analyzed. Finally, the prototype of the product is produced to achieve the purpose of intelligent detection and prompt users to correct the sitting position.
Research on the Innovative Design of SAPAD-Based Recreational Products for the Elderly
Authors: Liu Xinyi , Li Fangyu
Published: March 2022

The aim is to explore the innovative design strategies of Lake-age entertainment products in the experience needs of the elderly from the perspective of experience design in the face of the social problem of an ageing population, focusing on the enhancement of the well-being of the elderly population. The SAPAD framework is combined with the design strategy of the aging entertainment experience as the theoretical basis of the study; the in-depth interview method and the semi-structured observation method are used to observe the behaviour of the elderly users, extract the aging behavioural actions and the sub-actions of the interaction with the platform, and analyse the meaning clusters at three levels of experience layer, semantic layer and semantic layer in the meaning dimension of the SAPAD framework, and cluster the meaning clusters and the associated functional components to obtain the design strategy and the design strategy. The clustering analysis is carried out to obtain design strategies and opportunity points. Therefore, the above analysis suggests the possibility of designing and practicing the design of the Lake-Age Entertainment App, which will provide more references for the subsequent research on the field of Lake-Age Entertainment.
Sustainable Design of Bamboo-Based Composite Sheet in Surface Decoration Field
Authors: Zhang Enchang , Qiu Xiaoqian , Pu Huawei , Yu Yuxiang , Deng Zixuan
Published: March 2022

The bamboo-based composite sheet (BCS) based on sustainable theory was designed to improve the utilization of bamboo waste as well as provide a green and renewable product in the surface decoration field. The influence of color, width, proportion for BCS was studied to develop a preparation technology. The perception evaluation (aesthetic value and emotional characteristics) of BCS was analyzed. These results showed when the bamboo proportion was at a low level (10%), the perception evaluation of BCS was almost unaffected by the color and width of bamboo waste. As the bamboo proportion increased constantly, BSC gave a stronger feeling of lively, traditional and warm. The BCS with thin bamboo waste gave a sense of clean and regularity. On the contrary, the BCS with thick bamboo waste was more suitable for creating a dynamic and radical environment. The BCS with yellow bamboo waste gave a feeling of exquisite, modern, and warm, while green bamboo waste gave a sense of unordered, robust, traditional, and cold.
Evaluating YOLOv5 Deep Learning Models for the Detection of Tomato Berries for Crop Yield Estimation
Authors: Bini D  , Pamela D  , Hemanth D. Jude
Published: March 2022

A major advantage of harvesting robots is automatic fruit detection. Fruit recognition is difficult due to complex environmental variables such as lighting change, branch and leaf occlusion, and tomato overlap. Based on YOLOv5, an enhanced tomato detection model dubbed Tomato-YOLO is provided in this study to address these issues. YOLOv5 has a dense architecture, which makes it easier to reuse features and develop a more concise and accurate model. Furthermore, for tomato localisation, the model uses a rectangle bounding box. The bounding boxes can then more accurately match the tomatoes, improving the Non-Maximum Suppression Intersection-over-Union (IoU) calculation (NMS). They also reduce the size of the prediction coordinates. This will afford for more advancements in edge deep learning models for in situ and real-time visual tomato detection, which is necessary for harvesting robot development. The effectiveness of these alterations was demonstrated in an excision research. The research demonstrated that the system can distinguish green and reddish tomatoes, even when they are shrouded by leaves. With the NVIDIA GEFORCE GTX Architecture platform, Tomato-YOLO had the best performance, with an F1-score of 66.15 percent, a mAP of 52.26 percent, and an inference time of 16.14 ms.
Deep Inside Feature Learning for Image Classification Using Transfer Learning Approach
Authors: Surendran Ranjini , Anitha J. , Hemanth D. Jude
Published: March 2022

A scene consists of manifold objects and some relations among them. Exploring the relation among objects to acquire a meaningful understanding find application in the field of remote sensing, robotics, self driving cars etc. Our study intend to explore one such scene activity that can assist in resciung during natural disasters for example, flood. We have used the concept of deep learning networks which is a sub class of machine learning to develop a model that can detect the vehicles which got drowned in flood. We have made our own small dataset consisting of four classes with 100 images relating vehicles in each class. In our work convolutional neural network based pretrained model resnet101 learn the features and Support Vector Machines(SVM) functions as the classifier. This approach has shown an overall success rate of 91% in classification.
COVID-19 is a risk factor for retinal vein occlusion in younger patients?
Authors:   Irkutsk Branch of the S. Fyodorov Eye Microsurgery Federal State Institution, Irkutsk, Russian Federation, Shchuko A.G. ,   Irkutsk State Medical Academy of Professional Education — Branch of the Russian Medical Academy of Continuous Professional Education, Irkutsk, Russian Federation,   Irkutsk State Medical University, Irkutsk, Russian Federation, Akulenko M.V. ,   Irkutsk Branch of the S. Fyodorov Eye Microsurgery Federal State Institution, Irkutsk, Russian Federation, Yur’eva T.N. ,   Irkutsk Branch of the S. Fyodorov Eye Microsurgery Federal State Institution, Irkutsk, Russian Federation,   Irkutsk State Medical Academy of Professional Education — Branch of the Russian Medical Academy of Continuous Professional Education, Irkutsk, Russian Federation,   Irkutsk State Medical University, Irkutsk, Russian Federation
Published: March 2022

Retinal vein occlusions (RVOs) are thought to have more favorable outcomes in patients under-50 due to spontaneous regression. However, 20% develop severe neovascularization. In most cases, the causal link of occlusion remains elusive. Some authors report on clinical presentations typical for RVOs in the COVID-19 infection due to hypercoagulation. Management of younger patients with RVO required a complex diagnostic approach to assess systemic risk factors and obligatory evaluation of baseline retinal ischemia using fluorescein angiography (FA) or optical coherence tomography angiography (OCTA). Clinical criteria of escalating retinal ischemia are decreased central visual acuity, macular edema, increased area of ischemia, and (later) retinal and/or anterior segment neovascularization. We describe a young man with RVO after the COVID-19 infection. The COVID-19 infection had no significant effect on hemostasis parameters in this patient. Meanwhile, the COVID-19 infection cannot be ruled out as an aggravating factor in a patient with a genetic predisposition to (micro)vascular occlusions. Keywords: OCTA, retinal neovascularization, retinal vein occlusion, coagulogram, COVID-19. For citation: Shchuko A.G., Akulenko M.V., Yur’eva T.N. COVID-19 is a risk factor for retinal vein occlusion in younger patients? Russian Journal of Clinical Ophthalmology. 2022;22(1):62–67 (in Russ.). DOI: 10.32364/2311-7729-2022-22-1-62-67.
Cultivo da microalga Chlorella sorokiniana em diversas concentrações de Victoria amazonica, enriquecido com fertilizante inorgânico (NPK) e sob diferentes temperaturas
Authors:   Universidade Federal do Acre, Santos Jocilene Braga dos , Keppeler Erlei Cassiano ,   Universidade Federal do Acre
Published: March 2022

The Chlorella genus has biotechnological potential and is suitable for high biomass production because of its large-scale cultivation technology. In order to define the conditions that best favor its development aiming to optimize crops for greater algal growth, this research aims to verify whether cell growth is different due to different concentrations of the macrophyte extract Victoria amazonica, enriched with NPK inorganic and under different temperatures. It was concluded that, the aquatic macrophyte substrate was efficient for cultivation, representing a low cost means for the production and maintenance of the cultivation of Chlorella sorokiniana.
Improvement of Exotic Material Verification Using XRF
Authors: Litofsky Joshua
Published: March 2022

While various common alloys, such as steels, titaniums, and more recently aluminums, have been tested and inspected using X-ray fluorescence spectroscopy (XRF) for decades, uncommon and niche alloys can produce surprising and unusual results. The ability to identify the base metal, major alloying elements, and trace materials in these alloys is critical to XRF testing and inspection procedures. Modern XRF instruments and software can quickly and easily characterize standard and common alloys, such as low-carbon steel, grade 5 titanium, and 6000 series aluminum; detected signals from the metals are generally discrete and strongly pronounced. Less common alloys, such as nickel superalloys and uraniums, present a greater analytical hurdle for rapid on-site testing, grading, and inspection. These exotic materials contain either weaker signals from the alloying elements or nonunique signatures, preventing accurate quantification. Standardization adjustments through software improvements increase the testing accuracy for these uncommon alloys, bringing their results in line with those from more traditional alloys. By modulating the detection energies of interest, the robust calculation can greatly surpass standard, out-of-the-box performance without the need for any inspector input. These improvements can provide greater inspection accuracy on a wider variety of rare and valuable alloys into the future.
PEMANFAATAN MEDIA PRESENTASI INTERAKTIF (MPI) AUDIO VISUAL POWER POINT MENINGKATKAN PRESTASI BELAJAR PAI SISWA KELAS VA SD N LEMPUYANGWANGI SEMESTER I TAHUN PELAJARAN 2021/2022
Authors: Budiningsih Dwi
Published: March 2022

The purpose of this paper is to use Audio Visual Power Point Interactive Presentation Media(MPI) to improve the learning achievement of fifth grade students at SD N LempuyangwangiSemester I for the 2021/2022 academic year. At SD N Lempuyangwangi Class VA, by usingthe Audio Visual Power Point Interactive Presentation Media (MPI) it is clear that thechildren's enthusiasm for learning increases, children can focus more on teaching materialsso that activeness and learning outcomes increase, this can be seen from the value of studentachievement when doing the final evaluation of the learning turned out to be above theaverage Minimum Completeness Criteria (KKM) that had been applied previously. Theconclusions from the explanation that the author has poured on the previous page are asfollows: By utilizing Power Point students become active, creative and learning becomes fun,Skills in using computers and information technology are a necessity in developing teachersand their learning, Utilizing Power Point increases children's learning motivation andarouse curiosity about many things, Provide appreciation and inspiration to be able to createtheir own for teachers and students
KAJIAN PERFORMANSI DAYA DAN TORSI MESIN GENSET OTTO SATU SILINDER DENGAN BAHAN BAKAR CAMPURAN PREMIUM DAN SERBUK BIOMASSA PELEPAH KELAPA SAWIT
Authors: Gultom Henri A. , Sitorus Tulus B. , Gultom Syahril , N Taufiq B. , Nasution Dian M.
Published: March 2022

Semakin berkurangnya cadangan minyak bumi dan pemakaian bahan bakar fosil yang terus meningkat menyebabkan timbulnya ancaman krisis energi. Mengantisipasi hal tersebut diperlukan pengembangan sumber energi terbarukan sebagai energi alternatif campuran bahan bakar untuk menghemat penggunaan minyak. Serbuk biomasa dari pelepah kelapa sawit merupakan sumber biomasa yang mempunyai potensi untuk dikembangkan sebagai campuran bahan bakar yang dapat digunakan pada bebagai mesin, salah satunya adalah pada mesin otto 4-langkah. Pada penelitian ini digunakan mesin genset otto 4-langkah STARKE tipe GFH1900LX dengan daya puncak 1,3 kW, daya rata- rata 1,0 kW, bore 55 mm, stroke 40 mm, Vd 95 × 10−6 𝑚3, Vc 10 × 10−6 𝑚3, rasio kompresi 10,5 : 1, dan jumlah silinder 1 silinder. Bahan bakar yang digunakan yaitu premium 100%, premium 99% + serbuk pelepah kelapa sawit 1%, premium 97,5% + serbuk pelepah kelapa sawit 2,5% dan premium 95% + serbuk pelepah kelapa sawit 5%. Pengujian dilakukan pada variasi jumlah lampu sebagai beban yaitu 200 watt, 400 watt, 600 watt, 800 watt 1000 watt dan 1200 watt. Dari hasil pengujian daya maksimal turun hingga 6,71%, dan torsi turun 4,64%.
PENGARUH CAMPURAN BAHAN BAKAR PREMIUM-HIDROGEN -ETANOL 99% TERHADAP PERFORMANSI MESIN GENSET OTTO
Authors: Mor S Algris H. , Sitorus Tulus B. , N Taufiq B. , Nasution Dian M. , Siregar A. Husein , L Zulkifli
Published: March 2022

Penelitian ini dilatarbelakangi oleh kelangkaan minyak yang terus-menerus terjadi, yang dimana manusia disadarkan bahwa cadangan minyak bumi dunia semakin menipis, sementara itu pemakaiannya terus meningkat. Untuk itulah diperlukan energi alternatif yang sumbernya tidak akan pernah mengalami kelangkaan. Adalah etanol dan hidrogen yang merupakan bahan bakar yang berasal dari sumber yang tak terbatas. Selama lahan masih ada etanol akan terus dapat diproduksi dan selama lautan masih menutupi dunia ini selama itu hidrogen juga dapat diproduksi. Tujuan penelitian ini adalah mengetahui perbandingan performansi dan emisi gas buang dari mesin genset Otto 4-langkah merk STARKE Tipe GFH1900LX dengan menggunakan bahan bakar premium, etanol, campuran premium-etanol dan campuran premium-etanol-hidrogen. Penelitian ini dilakukan dengan cara menimbang bahan bakar. Kemudian, memberikan beban pada mesin genset yang telah dihidupkan, tegangan dan kuat arus diukur dengan multimeter, putaran diukur dengan tachometer dan waktu habis bahan bakar dihitung dengan stopwatch, kemudian data dianalisa. Adapun hasil penelitian ini terlihat bahwa hasil performansi dari mesin genset terlihat cukup baik. Seperti daya yang dihasilkan dapat terpenuhi hingga beban 1000 watt kecuali pada etanol hanya sebatas 600 watt saja. Dan untuk penghasilan daya optimum itu pada masing-masing bahan bakar didapat perbandinga Sfc yaitu premium 100% sebesar 923,6453 g/kw.jam, etanol 99% sebesar 1404,878 g/kw.jam, campuran premium 75%+etanol 25% sebesar 940,7666 g/kw.jam dan campuran (premium 75% +etanol 99%) 97,5% + Hidrogen 2,5% sebesar 836,2369 g/kw.jam. yang menandakan bahwa campuran hidrogen membuat bahan bakar campuran menjadi lebih hemat.
PENGARUH CAMPURAN BAHAN BAKAR PREMIUM, HIDROGEN DAN ETANOL 96% TERHADAP PERFOMANSI DAN EMISI GAS BUANG MESIN GENSET OTTO
Authors: Tarigan Martinus I. , Sitorus Tulus B. , Nasution Dian M. , N Taufiq B. , Siregar A. Husein , L Zulkifli , Hamsi Alfian , Napitupulu Farel H.
Published: March 2022

Semakin berkurangnya cadangan minyak bumi dan pemakaian bahan bakar fosil yang terus meningkat menyebabkan timbulnya ancaman krisis energi. Mengantisipasi hal tersebut diperlukan pengembangan sumber energi terbarukan sebagai energi alternatif. Pencampuran bahan bakar untuk menghemat penggunaan minyak merupakan salah satu alternatif. Tujuan dari penelitian ini adalah mengetahui perbandingan performansi dan emisi gas buang yang dihasilkan mesin genset Otto 4 langkah merk STARKE tipe GFH1900LX dengan menggunakan bahan bakar premium 100%, etanol(96%) 100%, campuran premium 50% dengan etanol 50%, serta penambahan hidrogen sebesar 2,5% pada bahan bakar campuran etanol dan premium. Penelitian ini dilakukan dengan cara menimbang bahan bakar kemudian, memberikan beban pada mesin genset yang telah dihidupkan, tegangan dan kuat arus diukur dengan multimeter, putaran diukur dengan tachometer dan waktu habis bahan bakar dihitung dengan stopwatch, kemudian data dianalisa. Dari percobaan menggunakan bahan bakar etanol 100%, sfc yang tertinggi yang dihasilkan adalah 4320g/Kw.jam tergolong boros jika di bandingkan dengan campuran bahan bakar premium 100% sebesar 3043 g/Kw.jam, serta etanol 50% + premium50% sebesar 4071 g/ Kw.jam, dan campuran (premium50% + etanol50%)97,5% + hydrogen 2,5% sebesar 3975 g/Kw.jam akan tetapi bahan bakar etanol, hidrogen, dan campuran ini tetap mempunyai keuntungan, yaitu ketersediaan bahan baku yang melimpah.
RANCANG BANGUN KONDENSOR UNTUK MESIN PENGERING PAKAIAN SISTEM POMPA KALOR DENGAN DAYA 1PK
Authors: N Ricardo , Ambarita Himsar , Sabri M. , P. Andianto , L Zulkifli , Gultom Syahril , Mahadi
Published: March 2022

Perancangan ini bertujuan untuk mengatasi masalah yang dihadapai usaha loundry pada penyediaan mesin untuk pencuci dan pengering yang dapat bekerja cepat. Oleh sebab itu dilakukan perancangan yang bertujuan untuk menghasilkan suatu unit mesin pengering pakaian portable dengan menggunankan AC rumah yang berorientasikan pada upaya efisiensi energi listrik yang dapat diaplikasikan pada skala kecil dan besar . Perancangan model fisik semua komponen pada unit mesin pengering pakaian ini didasarkan pada hasil perhitungan teoritis dan Pompa kalor yang digunakan beroperasi menggunakan siklus kompresi uap menjadi batasan masalahnya. Manfaat perancangan ini adalah untuk memenuhi kebutuhan pengeringan pakaian pada sektor rumah tangga, khususnya usaha laundry di Indonesia. Metode yang digunakan untuk mencapai tujuan adalah melalui perhitungan termodinamika dan perhitungan kondensor dengan refrigerant yang dipakai R-22. Kesimpulan perancangan ini diperoleh Koefisien performansi (COP) dan mendapatkan hasil beban kondensor pada saat superheated dan pada saat kondensasi, selisih temperatur rata rata logaritmik ( LMTD) dan panjang pipa kondensor. Koefisien Performansi yang tinggi sangat diharapkan karena hal itu menunjukkan bahwa sejumlah kerja tertentu refrigerasi hanya memerlukan sejumlah kecil kerja dalam proses pengeringan.
KAJIAN PARAMETER DAYA DAN EFISIENSI TERMAL MESIN OTTO EFI SATU SILINDER BERBAHAN BAKAR CAMPURAN PREMIUM -METANOL DENGAN SUPERCARJER ELEKTRIK
Authors: B Yanri H. , Nasution A. Halim , Sitorus Tulus B. , Nasution Dian M. , Sabri M. , Ariani Farida
Published: March 2022

Berbagai macam peningkatan efisiensi untuk motor bakar sudah dilakukan, tetapi belum semua pengembangan dilakukan pada motor bakar berkapasitas kecil seperti pada sepeda motor padahal penggunaan sepeda motor sudah sangat banyak lebih banyak dibandingkan jumlah truk, bis ataupun mobil pribadi. Sebuah supercharger memampatkan asupan udara pada tekanan atmosfer yang meningkatkan densitas saluran udara masuk ke mesin. Supercharger elektrik biayanya lebih murah dibandingkan dengan versi mekanis atau yang diputar oleh mesin (drive belt). Pemasangannya dinilai lebih mudah karena tidak banyak lagi modifikasi. Pada penelitian ini dilakukan uji performansi pada mesin otto satu silinder sistem EFI kapasitas 125 cc menggunakan blower 650 watt sebagai supercharger listrik. Pada pengujian unjuk kerja dilakukan pada variasai putaran mesin dari 1000 rpm sampai 9000 rpm. Unjuk kerja yang dihitung adalah daya dan efisiensi thermal brake. Dari hasil pengujian didapat bahwa penggunaan blower sebagai supercharger elektrik dapat meningkat,daya sebesar 0,5631 kw, efisiensi thermal 12%.
KARAKTERISTIK LAJU PENGERINGAN PADA MESIN PENGERING PAKAIAN SISTEM POMPA KALOR
Authors: A. Cakra M. , Ambarita Himsar , N Taufiq B. , Hamsi Alfian , Ginting Terang UHS , S Pramio G.
Published: March 2022

Penelitian ini dilatarbelakangi oleh masalah yang sering dihadapi jasa laundry pada penyediaan mesin untuk pengering pakaian. Selama ini mesin pengering pakaian yang beredar di pasaran, sumber panasnya beragam, mulai dari uap panas (steam), gas (api) atau listrik (heater). Energi yang digunakan untuk prosedur ini sangat besar (energi yang dihasilkan lebih besar daripada yang dapat dimanfaatkan). Melalui pembuatan model fisik mesin portable pengering pakaian berdasarkan pompa kalor ini, diharapkan dapat menghemat energi. Tujuan penelitian ini adalah untuk mengetahui performansi siklus kompresi uap pada mesin pengering pakaian sistem pompa kalor daya 1 PK serta mengetahui karakteristik laju pemgeringan pakaian. Penelitian ini menggunakan metode perhitungan termodinamika dengan refrigeran yang dipakai Hydro Chloro Fluoro Carbon (HCFC-22). Hasil dari penelitian ini diperoleh koefisien performansi siklus kompresi uap atau Coefficient of Perfomance (COP) dan karakteristik laju pengeringan pakaian.
RANCANG BANGUN DAN ANALISIS PERFORMANSI KOLEKTOR SURYA TIPE PLAT DATAR BERSIRIP
Authors: Sijabat Andri M. , Ambarita Himsar , Sitorus Tulus B. , Napitupulu Farel H. , Ginting Terang UHS , Nasution Dian M. , Ariani Farida , Sabri M.
Published: March 2022

Pengeringan merupakan salah satu cara untuk mengurangi kadar air. Proses pengeringan yang umum dikenal adalah penjemuran secara langsung di bawah sinar matahari dan yang paling sering digunakan oleh para petani yang ada di Indonesia untuk mengeringkan hasil pertanian mereka. Cara ini masih sangat konvensional dan memiliki banyak kendala salah satunya adalah factor cuaca. Cuaca yang tidak menentu akan sangat mempengaruhi kualitas dari hasil panen yang dijemur. Kadar air yang terlalu tinggi akibat panas yang tidak cukup untuk mengurangi kadar air akan memicu berkembangnya mikroba atau jamur yang dapat mengakibatkan pembusukan. Oleh karena itu, dirancang sebuah alat untuk dapat membantu petani memaksimalkan pengeringan hasil pertanian mereka. Alat yang dirancang adalah kolektor surya tipe plat datar bersirip dengan ukuran 2 m x 2 m x 0,17 m. Kolektor surya terdiri dari lapisan kayu, sterofoam dan rockwoll sebagai isolator, plat alumunium sebagai penyerap panas dan kaca sebagai penutup. Selain kolektor, dirancang juga ruang pengering sebagai tempat pengeringan hasil pertanian dengan ukuran 2 m x 1 m x 1 m. Sampel yang digunakan dalam pengujian alat ini adalah ubi kayu (cassava) dan cabai merah. Besarnya efisiensi kolektor diperoleh dengan melakukan pengujian selama 2 (dua) hari pada kondisi cuaca cerah dan juga melalui analisis perhitungan. Dari hasil analisis yang dilakukan diperoleh panas radiasi rata-rata yang dapat diserap kolektor adalah 1856,755 watt, kehilangan panas rata-rata pada kolektor adalah 442,57 watt dan efisiensi rata-rata dari kolektor surya yang didapat selama proses pengujian adalah 69,70%.
ANALISA KONSUMSI DAN BIAYA ENERGI PADA MESIN PENGERING PAKAN TERNAK SISTEM POMPA KALOR DENGAN DAYA 1 PK
Authors: Ronal P Hutagalung  , Ambarita Himsar , Sitorus Tulus B. , Nasution Dian M. , Ginting Terang UHS , Andianto Pintoro  , Taufiq B. N  , Napitupulu Farel H.
Published: March 2022

Analisa ini bertujuan untuk mengatasi masalah yang dihadapai para produsen pakan ternak untuk mengeringkan pakan ternak yang sudah dicacah dalam keadaan lembab menjadi kering agar tahan lebih lama. Oleh sebab itu dilakukan perancangan yang bertujuan untuk menghasilkan suatu unit mesin pengering pakan ternak portable dengan menggunakan AC rumah yang berorientasikan pada upaya efisiensi energi listrik yang dapat diaplikasin pada skala kecil dan besar . Analisa konsumsi dan biaya energi pada mesin pengering pakan ternak sistem pompa kalor dengan daya 1 PK ini didasarkan pada hasil perhitungan teoritis dan pompa kalor yang digunakan beroperasi menggunakan siklus kompresi uap menjadi batasan masalahnya. Manfaat penelitian ini adalah untuk memenuhi kebutuhan pengeringan pada sektor peternakan, pertanian, maupun home industry khususnya bagi wilayah- wilayah yang memiliki tingkat curah hujan yang tinggi di Indonesia. Kesimpulan perancangan ini diperoleh bahwa nilai laju ekstraksi air spesifik (Spesific Moisture Extraction Rate) untuk mesin pengering pakan ternak sistem pompa kalor adalah 0.0106 kg/kWh. Besarnya konsumsi energi spesifik (Spesific Energi Consumption) pada mesin pengering pakan ternak ini adalah 22,787 kWh/kg. Biaya Pokok Produksi yang dibutuhkan untuk proses pengeringan 1 kg pakan ternak dengan menggunakan sistem pompa kalor adalah Rp 20,012,- per kilogram.
ANALISA DAERAH ANTAR MUKA HASIL PROSES CLADDING MATERIAL STAINLESS STEEL TERHADAP BAJA KARBON MENENGAH
Authors: Bresman P Siboro  , Syahrul Abda  , Mahadi  , Farida Ariani  , M. Sabri  , Bustami Syam
Published: March 2022

Penggunaaan Baja karbon menengah dalam dunia industri masih sangat banyak digunakan. Namun dalam aplikasi tertentu, seperti peralatan otomotif, konstruksi dekat laut, tangki tekanan tinggi, Baja karbon menengah perlu dilapis dengan stainless steel agar dapat digunakan sesuai aplikasinya dan masa pakai yang tahan lama. Proses yanag diteliti adalah proses cladding yaitu ikatan bersama-sama dari dua logam berbeda. Cladding dapat dicapai dengan dua logam, melalui logam induk dan logam pelapis serta menekan lembaran bersama dibawah tekanan dan temperatur tinggi (850 0C). Tujuan penelitian adalah untuk mendapatkan nilai kekerasan dan mengamati difusi yang terjadi pada struktur mikro di daerah antar muka. Pengujian yang dilakukan adalah uji kekerasan dan uji struktur mikro. Nilai kekerasan pada daerah antar muka pada masing – masing varian waktu penahanan 20 menit, 40 menit dan 60 menit ditemukan peningkatan nilai kekerasan secara berturut – turut yakni 113,5 BHN, 125,6 BHN dan 128,30 BHN. Analisa struktur mikro waktu penahanan 20 menit terjadi difusi, tetapi belum sepenuhnya disepanjang daerah antar muka, pada waktu penahanan 40 menit difusi yang terjadi disepanjang daerah antar muka, dan pada waktu penahanan 60 menit difusi yang terjadi disepanjang daerah antar muka. kesimpulan yang diperoleh adalah semakin lama waktu pemanasan pada proses cladding, nilai kekerasan yang diperoleh akan semakin tinggi. Pada struktur mikro, semakin lama waktu penahanan pemanasan difusi terjadi disepanjang daerah interface.
ANALISA PENGARUH VARIASI KOMPOSISI TERHADAP KEKUATAN TARIK STATIK DAN IMPAK KOMPOSIT BERPENGUAT SERAT ROCKWOOL PADA PESAWAT TANPA AWAK
Authors: Fauzi K. P.  , Ikhwansyah Isranuri  , M. Sabri  , Marragi M  , Tugiman  , Mahadi  , Bustami Syam
Published: March 2022

Penggunaan komposit ringan sangat penting dalam meningkatkan kemampuan terbang Pesawat Tanpa Awak (Unmanned Aerial Vehicle = UAV) di udara. Salah satu keuntungan komposit diperkuat serat adalah komposit lebih ringan daripada logam dan relatif kuat. Tujuan penelitian ini adalah untuk memperoleh komposisi yang memiliki sifat mekanis terbaik dari bahan komposit berpenguat serat rockwool untuk aplikasi pembuatan pesawat tanpa awak. Material dibuat dengan bahan dasar resin polyester BQTN 157 EX, serat rockwool sebagai penguat, dan katalis MEKP. Kajian hanya dilakukan dengan variasi komposisi rockwool-polyester (4-96)%, (8-92)%, (12-88)%. Pembuatan komposit dilakukan dengan metode hand lay-up. Pengujian yang dilakukan adalah uji tarik statik dan uji impak charpy. Dari pengujian tarik statik yang dilakukan, didapatkan bahwa semakin banyak kadar rockwool pada komposit, maka kekuatan tarik juga akan meningkat. Kekuatan tarik maksimum terbesar dimiliki komposisi 12% rockwool yaitu sebesar 31,169 MPa, dengan regangan sebesar 1,56 % dan modulus elastisitas sebesar 3133,424 MPa. Dari pengujian impak, didapatkan nilai kekuatan impak terbesar dimiliki komposisi 4% rockwool yaitu sebesar 0,003733 J/mm2, sementara komposisi 12% rockwool memiliki kekuatan impak sebesar 0,002489 J/mm2, dan komposisi 8% rockwool memiliki kekuatan impak terendah yaitu 0.002267 J/m2. Dan didapat komposisi rockwool-polyester (12-88)% memiliki sifat mekanis terbaik diantara tiga komposisi yang diteliti untuk pesawat tanpa awak.