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Meniran (Phyllanthus urinaria) is one of the plants used for herbal medicine for immunomodulators and growth stimulants. The production of Meniran extract requires a rotary vacuum evaporation machine to prevent the compound found in the extract from denatured above 50 °C. Meanwhile, this machine is mainly used for laboratory purposes which didn't consider the amount of time needed nor the energy and wattage used. It is necessary to analyze the power and extraction processing time calculation for commercial-scale production using a rotary vacuum evaporator. The results of the analysis of power and processing time are used as considerations for the production process of commercial-scale Meniran extract. In this technical report, the power calculation includes heat, rotation, and vacuum pump calculations. Factors affecting production energy and time are the amount of solution, the power of the heater, and the work of the vacuum pump. From the calculation results, the total power required is 200 W for the initial weight of the solution of 1 kg, and the extraction time is 2.5 hours. [ABSTRACT FROM AUTHOR]

Food ball is a prevalent sport in the world, based number of people interested, the number of leagues per year, and the economy depended on it. So, predicting and analyzing the game is very challenging. The performance depends on many parameters like players, defense strength, ground weather, toss, and previous team and individual performance. So many researchers have worked on predicting the result, but most researchers used simple machine learning models, tried to increase the accuracy, and missed some essential features. Moreover, football is continuing game; if a player is not playing or his performance is poor in the last match, that will affect future results. So, we proposed a new model with Bi-LSTM to learn the team's and individual players' performance within the period. Though we got less accuracy than other models, our model precision, recall and F-score are up to the mark. [ABSTRACT FROM AUTHOR]

As a fried food, this snack has limitations, namely a consumption life that is considered less long because of the oil contained in it. efforts to extend the life of consumption can be done by reducing or maybe even eliminating the oil content in it. Based on this background, a process of designing a control system on a simple slicing machine is carried out that is suitable for use in home industries with small electrical power and a small engine capacity as well. It is hoped that with this slicing machine, the process of making snacks will be lighter in work and can increase work productivity with quality results to increase quality and quantity in the production system. A.positioning of the system on the slicing machine B. How the system works on the slicing machine The circuit in the system there is a program where the contents are to apply the slicing machine. C. Final design of the system on the slicing machine. Therefore, from the design and literacy above, the design of the ardiuno system on the spinner machine can be made and run, It is designed so that when conducting each practicum experiment according to the module, components that are not used, will not have any effect that can cause failure of the results. to be able to connect between components from one another using a jumper cable. [ABSTRACT FROM AUTHOR]

Exciting and fun learning media are necessary for delivering Physics material to elementary schools so that it is uncomplicated for learners to figure out. The development of interactive study media based on computational thinking skills needs to be honed for students to be skilled in programming to create the Physics material for elementary schools that they want to convey. This advancement investigation intends to determine the effectiveness of examples of computational thinking programming projects using Simple Machine materials that can be created and guided for problem-solving tasks in computational thinking training for PGSD students using the Scratch application. The research subjects were 20 private university students in Padang. Developing interactive learning media for computational thinking skills by applying the DDR design through the ADDIE model. Observation activities, interviews, and questionnaire instruments were used to obtain quantitatively analyzed data. The results of research on the process of needs analysis, expert validation, and effectiveness testing on students prove that the development of reciprocal study media grounded computational thinking, Simple Machine material with Scratch programming, is suitable as an example for problem-solving tasks for PGSD students' computational thinking training. Suggestions for further development of interactive learning media based on computational thinking skills are that interesting programming animation videos should be made to show learning from the concepts being taught, which will make it uncomplicated for learners to figure out. [ABSTRACT FROM AUTHOR]

In the dry season in Indonesia, water drought problems are encountered every year especially in East Java, Central Lombok, and NTT. The problems may be solved with a simple machine. One simple machine that can be used to provide clean water for households is an air-water harvester. Therefore, an experimental study to investigate the effect of an evaporator pipe length on water production was conducted at unconditioned room temperatures. The lengths of the pipe examined were 2084 mm, 3968 mm, and 5852 mm. The machine used low and high pressures of 40 and 180 psi, andthe working fluid used was R134a. The power applied to the machine in this study was 160 watts. The results indicate that increasing the length of the pipe increases water production, however, the increase in water production is not linear with the increase in the pipe length. The highest amount of water production was 0.759 kg per 7 hours. The highest water production was attained using the machine with a pipe length of 5852 mm. [ABSTRACT FROM AUTHOR]

Authentication systems have built the foundation for validating and securing user identities. One such authentication method is Mouse Dynamics Authentication. Mouse Dynamics Authentication is used to identify users based on mouse movements on a system. Everyone's mouse movement behavior is unique, and this unique trait is the basis of its security. The more advanced technology is followed by the human need for the security of personal data is higher due to the increasing ability of attackers to steal data. To improve the security of personal data, it is necessary to reduce the FAR and FRR value in this research. The authors propose combining the Support Vector Machine method and Simple Random Sampling as dataset sampling. The results of this research indicate that the proposed SVM method provides good results. This research provides an opportunity to be implemented in a real login system because our method gives the best results with a False Acceptance Rate (FAR) of 0.0457 and a False Rejected Rate (FRR) of 0.0613. [ABSTRACT FROM AUTHOR]

The primary intent of this research work is to decrease the struggle to clean the floors in colleges, hospitals, auditoriums, malls, workshops, etc. The main aim is to design a simple machine for cleaning the floor having wet and dry surfaces. Cleaning is an obligatory part of our day-to-day lives, and during this covid pandemic time, we saw the importance of cleaning. Therefore, this project is beneficial in our everyday lives, it is easy to operate, and it can clean the floors very effectively. This floor-cleaning machine consists of a moisture cotton mop, swiping brushes, wipers, and vacuum cleaner to clean the floor effectively. The fully automatic machines are very expensive, so most companies cannot afford such costly machines. This Floor cleaning machine is designed by keeping the essential considerations for reducing cost and efforts while being environmentally friendly and easy to manage. In recent years, floor-cleaning machines are getting more popular for cleaning large floor areas in minimum time. However, India, which is a developing country, requires a large type of machine to satisfy its cleaning needs. This machine can easily meet the requirements at minimum cost and maximum efficiency. [ABSTRACT FROM AUTHOR]

Multi-material additive manufacturing (MMAM) have the capability to directly fabricate three-dimensional (3D) parts consisting of more than one material. Multi-material parts can be fabricated without any need of complex machining process or expensive tool. It reduces the design constraints enabling the designer to design and create a variety of shapes with different materials. MMAM is economical in various applications owing to requirements of different properties at different locations like hardness, corrosion resistance, which in turn reduces the component cost for selected application. The fabricated part work as a multi-functional part. It also reduces the requirement of various machinery thus require minimum space. It eliminates the requirement of assembly. This in turn reduces the material wastage as well as the time required for fabrication. These multi-material structures are difficult to manufacture with the conventional process. It reduces all the wastes associated with the conventional process like, reduction in number of processes, transportation time, motion control, waiting time, energy consumption etc. Hence, this can be called as green manufacturing. Researchers are showing interest in this unique approach. Recently various techniques for multi-material structures have been developed. The current study highlighted the recent advances in the fabrication of multi-material structures built through additive manufacturing while discussing its applications, challenges and advantages. [ABSTRACT FROM AUTHOR]

Comprehensive study of advances in the machining process is the ever-existing need of the hour, even in spite of emerging technologies like additive manufacturing which are in trends. Turn-mill machining operations which are of either with self-propelled cutter or active-driven cutters are termed to be a hybrid of turning and milling processes. To enhance the turn-mill operations, a vertical milling machine with A-axis, C-axis (4-axis machine tool), 5-axis/6-axis machine tools are required. The turn-mill operations offer advantages of successfully machining complex curvatures and thin plates. This process application is limited, as its kinetics and dynamics are complex and need to be understood much more. This review paper attempts to summarize the works carried out in the turn-milling operational processes such as orthogonal and tangential machining. Primarily, the self-propelled rotational turn-mill tools are outlined and thereby addressing actively driven tools, basing on analytical and experimental models of representing the process. The responses studied under turn-mill operations are presented with applications, and overviewing all the optimization methods applied. The research findings are summarized and introduced with an intention to understand the feasibility turn-mill operations, so that it can be used in industries as an alternative for rotating tool machine tools such as milling and grinding. [ABSTRACT FROM AUTHOR]

National Education in Indonesia is based on the country's culture. Local culture values, on the other hand, began to fade with the passage of time, particularly among the younger population. As a result, the school can link indigenous science and scientific knowledge in science learning as a good place to instil local values. This study aims to investigate and identify science concepts in the local culture of Bobung Wooden Mask in Gunung Kidul Regency, Yogyakarta, Indonesia, as well as to map basic science competencies in Junior High School. This study is a descriptive qualitative research project using an ethnographic technique and a literature review. Craftmanship and the Bobung Wooden Mask are the subjects of this study. Data were analyzed by gathering information, reducing data, presenting and drawing conclusions. The finding revealed that the Wooden Mask of Bobung might be utilized as a science learning resource of eighth-grade students based on local culture. Science materials of objects motion and living things, work and simple machines, structure and function of the plant, additives and addictive chemicals, pressure and the application in life, and the human respiratory system are all mapped basic competencies in eighth-grade. Furthermore, in-depth observations must be conducted, and learning tools such as subject-specific pedagogy based on Bobung Wooden Mask local knowledge as a teacher instruction in relating local culture to the science learning process must be developed. Teachers can utilize and execute relevant learning models to attain maximum learning goals using the knowledge they have. [ABSTRACT FROM AUTHOR]

Machining of complex closed contour geometries on CNC machines is not only difficult but is associated with lower quality of components and hampers productivity also. The larger size of data that is required to be transmitted affect feed rates and leads the cutting tool to deviate from the stipulated toolpath. Feed rate fluctuation and bottleneck due to huge data transmission cause the deviation of the cutting tool from the toolpath. In this present paper, the effects of such important factors on shape accuracy and surface roughness are to be reviewed. The closed contour toolpath is generated by the Computer Aided Manufacturing (CAM) software. The modern CAM software supports machining of free-form curves, approximated with a series of short linear segments and circular arcs. The algorithm is essential to avoid the errors when the parts actually machined. Considering this, the reviewed literature is broadly classified as toolpath for machining of the free-form curve and interpolation algorithm. [ABSTRACT FROM AUTHOR]

Floor cleaning is an essential activity people are performing on daily basis. The cleaning of common areas like corridors in hospitals, houses, auditoriums, and shopping malls is a crucial task where there is very less manpower available. In the modern era, interior and outside cleaning is becoming an important role in our life. During the situations of COVID-19 pandemic when a person has to follow isolation, cleaning his surroundings has become a crucial problem. Many complex floor-cleaning machines are available in the market. Due to cost and size constraints, they become less popular. This paper presents a floor sweeper robot that is compact and simple in design. The 3D CAD model for the robot is prepared based on kinematic calculations. The operating ease of the present design is attractive to adopt for all classes of people. Various standard components like motor, switch, wheel, brush, etc. have been selected as per the requirements. The designed robot is fabricated for testing and utilization purposes and contains 950 grams of weight. The developed floor sweeping performs cleaning of floors in a satisfactory way. It is a compact design, easy to operate, and cost-effective that people can adopt easily. [ABSTRACT FROM AUTHOR]

Ti6Al4V is a composite material with low density (4.5 g/cm3), melting point (16680C), and modulus of elasticity (107 GPa). Ti6Al4V's ambient temperature tensile values can reach 1400 MPa, and its yield strength is noted. The Ti6Al4V alloys are also extremely malleable, making them simple to make and machine. The cutting capabilities of titanium compound will be improved by introducing and registering a novel technique presented in this work. Pre-heating the workpiece with an induction coil heating device before end milling on a vertical machining centre will be studied (VC450-Spinner). WC-Co/PCD inserts placed 25 mm across the mill (R390-025B25-11M/R390-170408E-NLH13A) were thoroughly studied with general preheating method on Ti6Al4V machinability metrics like span of tool, Ra & Fc, noise, anomalies, tool, and morphology. Similarly, bare WC-Co was widely used in warmed machining (straight around multiple times compared to room temperature machining), and estimates of tool life are basically greater than those for cutting with PCD in room temperature machining. Preheated milling reduces shaking and noise, which in turn reduces cutting power and increases the lifespan of the tool. Preheated milling also increased chip-device contact length, lowering tool wear. The device also improved tool life and surface roughness by optimising cutting settings and preheating temperature. Lastly, preheating improved bare WC-Co execution and PCD tool life predictions under room temperature milling. By reducing disturbance and noise and the resulting cutting power, preheated milling promotes longer tool life. Preheated milling increases chip-tool contact length, which reduces tool wear. [ABSTRACT FROM AUTHOR]

Article describes process of determination of the functioning parameters a single-channel set of machines with the simplest flows in an unsteady and steady modes, when the probabilities of the system state do not depend on time. The proposed procedures of modeling allow to reduce time and costs of such calculations at least in several hundred times and effectively to define optimum parameters of the working equipment of such loaders, providing good visual presentation of received results. [ABSTRACT FROM AUTHOR]

Most real-world classifications problem provides an uneven, skewed dataset. Imbalanced datasets are a key issue in machine learning. The challenge for any machine learning algorithm to learn from imbalanced dataset is correctly classifying cases from the minority class. Imbalanced dataset leads machine learning algorithms to misclassify cases from the minority class which is undesirable for real world classification applications and also degrades the performance of algorithm. Glass identification dataset is one of the datasets that serve as a example of skewed imbalance real world dataset. The majority of research on glass identificationtasks ignores the data outlier and class imbalance found in this dataset. Class imbalance, data outlier, and insignificant featuresare only a few of the factors that contribute to the poor performance of distance-based machine learning methods such as kNN. Thus, this paper explores the performance of one of the most simple and efficient machine learning classifier kNN. The authors performed interquartile range (IQR) thresholding to eliminate data outliers, ReliefF ranking to find significant features and SMOTE to cope with the class imbalance occurring in the dataset. The Inverse distance weighted kNN is utilized for classification in the improved dataset. The results revealed that using the strategies mentioned improves the performance of the kNN algorithm while also providing accuracy that is better and more dependable than much of the research done in this dataset. In this paper the authorsfound the highest accuracy of glass identification task is 78.923% with F-measure 0.791. [ABSTRACT FROM AUTHOR]

This project's main objective is to eliminate the risk that comes when multiple people come in contact with the same person when he/she checks their temperature and to reduce the wastage of hand sanitizer. To start, the machine has an integrated voice detection unit that will turn on the machine with a simple command like "ON". The machine has an inbuilt temperature sensor that will help check if the person's temperature exceeds the fixed normal temperature range. The sanitizer outlet is designed in a fog dispenser manner which will eliminate frequent contact with the machine and it can detect hands over a range of 0-15 cm. The machine is integrated with an RFID module and a cloud system that helps in employee face recognition. [ABSTRACT FROM AUTHOR]

Virtual machining is an emerging technology for estimating the complex machining parameters of various parts before performing real-time machining in order to achieve dimensional accuracy, quality and reliability. This paper proposes an efficient methodology for visualizing the turning process of a complex bullet profile in the CAD/CAM system's graphical interface. The 3D models of the bullet surface was created using CATIA Software. The CNC program was created from the CAD file in Siemens controller of the CNC Turning machine. The goal of this study was to compare simulation models of shape generation processes in turning operations of generated faces and real-world turning process experiments. Further virtual simulation of the bullet profile was conducted and compared with the experimental surface of the complex profile. The results confirmed that the simulation of virtual turning processes was nearly equivalent to the real-time turning experiments at the shop floor. [ABSTRACT FROM AUTHOR]

The article presents a new methodology for assessing the efficiency of machinery mechanisms, gives theoretical justification and recommendations for improving the efficiency of complex mechanisms, as well as the elimination of parasitic forces. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to assess the state of the production base of the enterprises of the military-industrial complex (MIC) and assess the capabilities of the domestic machine tool industry to support projects for the diversification of MIC enterprises. Moreover, the purpose is to study the possibilities of diversification in a single production path of choosing a diversification method. The paper discusses the current state of the machine tool industry and the production base of enterprises of the military-industrial complex (MIC) from the point of view of production diversification opportunities. The interconnection of the diversification process with the state of the enterprise's production base and the composition of the production program is investigated. An evaluation matrix for making a decision on diversification is proposed. The problems that exist in the military-industrial complex and the problems of the machine tool industry, as well as existing solutions, are highlighted. The problems of the machine tool industry enterprises that require a systemic solution are highlighted. The classification of military-industrial complex enterprises, which allows developing mechanisms for predicting the results of the transition to new products in order to diversify and stabilize cash flow and reduce costs is given. Within the conditions of sanctions and a difficult geopolitical situation, the development of domestic production of means of production is a priority for the state to ensure state security. Recommendations for further study of the situation are given. [ABSTRACT FROM AUTHOR]

The study aims to build an efficient feedback system for automated and unmanned restaurants using customers facial expressions by training the model with six different expressions and produce accurate results. The proposed system uses an improved support vector machine for recognizing various expressions of human face in the unmanned restaurants based on a gradient boosting approach. FER2013 dataset has been used for the implementation. This study consists of two groups and the sample size for each group is 392. This research study adapts a novel gradient boosting with kernel trick approach for efficient classification. It is observed that the proposed system obtained 82.14% accuracy while comparing with the existing system which has only 63.88% of accuracy. The result proves that the improved support vector machine with a gradient boosting approach for the feedback system of unmanned and automated restaurants obtained better accuracy than the existing system. This feedback system can also be used as a resort feedback system in order to improve the customer experience. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) is a technological know-how or era that may be applied to show a simple machine right into a clever machine. Making or designing a machine that thinks and works like a person is mentioned be intelligent. We can witness the evolution of computers, from the primary mechanical computer, the "Babbage Difference Engine," to the Supercomputer "Fujitsu Fugaku," way to AI. E-commerce, navigation, robotics, human resources, healthcare, agriculture, gaming, automobiles, and quite a few different regions have all benefited from AI. AI is carried out in Emergency Medicine to growth operational efficiencies, surgery, and healthcare quality. When it involves illnesses like COVID-19, AI is used to represent the tissues of sufferers and classify the severity of infection. When it involves cancer, genomic sequencing can resolve all mutations that force person tumors, so AI is used to seize the genetic make-up of person sufferers and shape personalised medicine. AI is utilized in pharmacy to layout tablets and higher information of contamination heterogeneity. It not only identifies healing targets, however additionally designs and optimizes drug candidates. Computation Formulation of Orthodontic Referral Decision (CFOD) is an artificial intelligence (AI) idea applied in orthodontics to help decision-making for orthodontic diagnosis. In this paper, we aim to discuss the role of AI in Health care, such as Dentistry, Medicine, Emergency Medicine, Orthopaedic, Pharmacies, etc,. [ABSTRACT FROM AUTHOR]

The paper considers the development of an algorithm for controlling the automatic tool calibration system for robotic machining. It shows the relevance of the issue, proved by the design characteristics of industrial robots and their growing introduction in the production tasks. The authors describe the proposed principle of carrying out the calibration. It is shown that if geometrical parameters of the complex equipment do not change, tool overhang measurement and two calibrated reference tools available are enough for new tool calibration. The authors present a mathematical model for tool calibration parameters calculation. The authors also describe a principle of technical execution of automatic tool calibration system. They develop a control algorithm of an automatic calibration system using the interruption mechanism and consisting of several sequentially called subprograms. To check the adequate operation of the developed algorithm, the pilot sample of the automatic calibration system is made up. The system model is integrated into the robotic machining complex based on the industrial robot KUKA KR60-3. Experimental testing of the developed algorithm and the automatic calibration system functioning is conducted. The experiment shows a sufficient level of correspondence of the results of manual and automatic calibration and significant saving of time provided for the automated calibration. [ABSTRACT FROM AUTHOR]

The principle of mining machines digital control system simulation is considered. It is shown, that shaft-boring machine is the complex multi-contour object, which include actuators with significant nonlinearities in every control contour. When control the machines with Von Neumann type controllers it is necessary to take into account controller's real performance linked with step-by-step interpretation of a managing algorithm. The shaft-boring machine control system model proposed includes transfer functions matrix equations, describing object under control and semantics of data processing in controller, two delay matrices, describing Von Neumann type controller as a physical device, and description of actuator with nonlinearities by non-linear differential equation in Cauchy form. For estimation of delay matrices parameters semi-Markov process model of control algorithm is used. Initially semi-Markov matrix describes ergodic process, but after proposed transformation it permits to estimate time intervals when wandering between states. [ABSTRACT FROM AUTHOR]

Machining is one of the most widely used production technologies nowadays. Since producing large machine parts does not require high precision machining, it is reasonable to use a manipulating industrial robot equipped with milling equipment instead of a traditional numerically controlled machine tool (NC machine) due to the lower cost of the complex. However, if robotic machining is applied, there is a necessity to calibrate the equipment of the industrial robot, which negatively influences the total time of the operating procedure. This paper deals with the development of an automatic tool calibration method for a robotic machining complex, which saves time and reduces labor expenditures of industrial robot tool calibration procedures greatly. The authors of the article carried out the analysis of calibration technologies and their automation choices. They offered a method on how to measure the tool overhang value, developed the functional circuit connection diagram of the equipment as well a computing model of calibration parameter performance. [ABSTRACT FROM AUTHOR]

This study aims to obtain the formulation of the appropriate project-based learning stages to be implemented in complex machining learning. In addition, the achievement of employability skills and student learning achievement were also investigated in this study. The approach used is the Kemmis and Taggart class action research. Data collection techniques using observation, documentation, and interviews. The collected data was then analyzed by quantitative descriptive analysis. The results showed that the formulation of the appropriate project-based learning stages to be implemented in complex machining learning was group division, determination of themes (jobs/tools), job/tool design, job/tool making process, assembly process, testing & finalization. In addition, the achievement of student employability skills is 95.7% while the average student achievement is 87.14. [ABSTRACT FROM AUTHOR]

Learning materials play an essential role in building students' scientific literacy competencies; therefore, learning materials should be integrated with scientific literacy competencies. This study aims to analyze the scope of scientific literacy in Edmodo-based learning materials on a simple-machine. This type of research is a qualitative descriptive method. The research data collection uses an analytical instrument that refers to the PISA scientific literacy competence. The data collection technique used analyzing learning material documents to obtain the scope of scientific literacy competencies. Document analysis result data is expressed in percentage form. The results showed that the scope of scientific literacy in Edmodo-based learning materials was dominated by the competence of 'explain phenomena scientifically with a percentage of 68%. The competence of 'evaluate and design scientific inquiry' has the lowest percentage of 8% and the competence of 'interpret data and evidence scientifically' with 24%. Thus, it can be concluded that the learning materials have integrated scientific literacy competencies. Still, suppose we refer to the proportion of scientific literacy competencies according to PISA 2018. In that case, it can be said that the integrated scientific literacy coverage in these learning materials is not proportional. [ABSTRACT FROM AUTHOR]

This paper reviews the complex task problems which are out of reach for a simple machine. So, there is a need for a solution for such a problem, so the solution is Reinforcement Learning with deep Q-Network. Reinforcement learning techniques are now being researched for their applicability in a wide range of situations. Perhaps because of the rising complexity and unpredictability in the generation and distribution sector of power systems, traditional approaches frequently encounter congestion while attempting to handle decision and control issues that are out of reach for a basic machine. Deep Reinforcement Learning (DRL) is one of these data-driven approaches that is considered true Artificial Intelligence (AI). DRL is a hybrid of Deep Learning (DL) and Reinforcement Learning (RL). Our study examines the fundamental concepts, models, methods, and approaches of DRL. It also presents power system applications such as smart grids, energy management, demand response, the electricity market, operational control, and many others. Furthermore, current advancements in DRL, the coupling of RL with other classical techniques, and the prospects and problems of its applications in the power system are explored. [ABSTRACT FROM AUTHOR]

The humans have been on this planet for almost 200,000 years and now a new civilization is going to join the human civilization, the robot civilization or in simple words machines who can understand human being's feeling and thoughts. There are laws written for robots to act accordingly, in 1942Isaac Asimov a science fiction story writer who stated the three laws of robotics in Runaround (story). Well at present we have many laws around the world for the robots, the European countries have their own laws for the robots and similarly there are other organizations and countries. Today the robots that are designed and active are bound by the laws therefore next stage for the robots is to demand for their rights. The robots will demand for their rights after they achieve self-awareness. The question is can robots be self-aware and what are the rights they are will demand? [ABSTRACT FROM AUTHOR]

This paper proposes an approach for modeling and simulation testing of a robotic technological system and generated technological process for machining of complex parts in the environment of a specialized software package Roboguide. After verification, the generated and calibrated control programs are sent to the robot controller and the executive machining modules for execution via Internet/Ethernet connection. The system includes an industrial robot - executive machining modules - input-output belt conveyor. [ABSTRACT FROM AUTHOR]

Beyond conscious beliefs and goals, automatic cognitive processes shape our social encounters, and interactions with complex machines like social robots are no exception. With this in mind, it is surprising that research in humanrobot interaction (HRI) almost exclusively uses explicit measures, such as subjective ratings and questionnaires, to assess human attitudes towards robots - seemingly ignoring the importance of implicit measures. This is particularly true for research focusing on the question whether or not humans are willing to attribute complex mental states (i.e., mind perception), such as agency (i.e., the capacity to plan and act) and experience (i.e., the capacity to sense and feel), to robotic agents. In the current study, we (i) created the mind perception implicit association test (MPIAT) to examine subconscious attributions of mental capacities to agents of different degrees of human-likeness (here: human vs. humanoid robot), and (ii) compared the outcomes of the MP-IAT to explicit mind perception ratings of the same agents. Results indicate that (i) already at the subconscious level, robots are associated with lower levels of agency and experience compared to humans, and that (ii) implicit and explicit measures of mind perception are not significantly correlated. This suggests that mind perception (i) has an implicit component that can be measured using implicit tests like the IAT and (ii) might be difficult to modulate via design or experimental procedures due to its fast-acting, automatic nature. [ABSTRACT FROM AUTHOR]

The paper deals with the issues of comparative analysis of the quality of speed-controlled electric drives with permanent magnet motors, which are most often used in complex technological machines. The functional and structural diagrams of drives of this type are presented, which are built according to circuits of different number of current circuits (with three current sensors, with one current sensor and without current sensors) used in automated production. Simulation of the operation of electric drives in accordance with the requirements of the standard has been carried out, which makes it possible to analyze the efficiency of a specific circuit. The results of circuit simulation of electric drives with valve electric motors, built according to various schemes, are presented. Conclusions on one of the main quality characteristics (pulsations at low speeds) of each of the considered schemes are given. [ABSTRACT FROM AUTHOR]

Shaped charge liner fabrication processes can improve penetration capabilities. For example, whether a liner has been machined, flow-turned or cold pressed can alter the liner material microstructure and in turn influence the jet elongation ability and its penetration capability. In this work we compare the performance of shaped charges with liners machined from copper processed by Equal Chanel Angular Pressing (ECAP) and from raw copper. We examine how the ECAP process affects the copper mechanical properties and microstructure, in particular, it is shown that the grain size is substantially decreased. The effect on the shaped charge performance for the two fabrication routes is explored through hydrocode simulations and experimental tests. We show that the ECAP process influences both jet ductility and breakup parameters compared to simple machining from raw material. [ABSTRACT FROM AUTHOR]

In this paper, the geometric error modeling and sensitivity analysis method was established to improve the compound machining accuracy of NC machine tools. Use CHD-25 type 9-axis 5 linkage turning-milling compound NC machine tool as a research object, based on the multi-body system theory (MBS), the geometric error modeling method of the machine tool was developed. The model involves 37 items of geometrical errors. By calculating and analyzing the error sensitivity coefficient, the key geometric errors that affect the machining precision are identified finally, which provides an effective theoretical basis for the design of compound CNC machine tools. [ABSTRACT FROM AUTHOR]

Electrical Discharge machining (EDM) is a nonconventional machining technique, which has been commonly used to create dies and mold. Harder Materials can be machined into complex shapes as long as they conduct electricity. Recent advances in the technologies brought the development of new engineering materials, which are hard to machine with traditional machining processes. EDM is capable of machining these materials; given these materials have an adequately high electrical conductivity. In EDM, Material removal rate (MRR) Tool Wear rate and surface roughness (Ra) are important performance measures. Numbers of ways are explored by researchers to improve and optimize MRR along with a reduction in tool wear rate (TWR) and surface roughness (Ra). This paper discusses researches on EDM, involving the enhancement of MRR in conjunction with a little insight into material removal mechanism. [ABSTRACT FROM AUTHOR]

A surface grinding process is a dynamic and complex machining process. This process was used in manufacturing products that require hight tolerance, high precision and shigh surface quality of workpieces. Therefore, the selection of abrasive types and parameters of surface grinding processes (speed ratio and grit size) can give an impact on the increasing vibration level and surface roughness. Thus, the main goal of this study is to analyze the effect of speed ratio and grit size on vibration level and surface roughness. This research was conducted on a surface grinding machine using a type of aluminum oxide grinding wheel, on six variations speed ratio of four grit size variations and two variations depth of cut. The workpiece material being grinded is hardened OCR12VM up more than to 58 HRC with dimensions of 300 mm x 60 mm x 20 mm. The vibration level measurement is performed by ADC Picoscope 4262 and the surface roughness by using surftest mitutoyo-301. The conclusion of this study is that the greater the speed ratio, the vibration level will be smaller and proportional to the surface roughness. Likewise, with the finer grit size, the resulting vibration level became lower and also the surface roughness. [ABSTRACT FROM AUTHOR]

Pion beams are perfect tools to probe resonance excitations at a fixed energy, thus properties of baryonic resonances and their coupling channels can be studied. The HADES Collaboration performed a systematic scan around the second resonance region at four different pion beam momenta 0.656, 0.69, 0.748 and 0.8 GeV/c in π−p reaction. The role of the N(1520) resonance in conjunction with the intermediate ρ-meson production has been studied in the framework of a partial wave analysis. Preliminary results on exclusive channels with one pion (π−p) and two pions (nπ+π− and pπ−π0) in the final state are presented. [ABSTRACT FROM AUTHOR]

Pion beams are perfect tools to probe resonance excitations at a fixed energy, thus properties of baryonic resonances and their coupling channels can be studied. The HADES Collaboration performed a systematic scan around the second resonance region at four different pion beam momenta 0.656, 0.69, 0.748 and 0.8 GeV/c in π−p reaction. The role of the N(1520) resonance in conjunction with the intermediate ρ-meson production has been studied in the framework of a partial wave analysis. Preliminary results on exclusive channels with one pion (π−p) and two pions (nπ+π− and pπ−π0) in the final state are presented. [ABSTRACT FROM AUTHOR]

Hardware has become an increasingly attractive target for attackers, yet we still largely lack tools that enable us to analyze large designs for security flaws. Information flow tracking (IFT) models provide an approach to verifying a hardware design's adherence to security properties related to isolation and reachability. However, existing precise IFT models are usually too complex to actually use. Queries may fail to finish even for small designs when verifying relatively simple properties. It is possible to create less complex models, but these come at the cost of a severe loss of precision---they frequently indicate a property fails when in fact it passes, which means verification requires extensive additional manual investigation. We present a new method to bridge the chasm between precision and complexity in a finer-grained, controlled, and disciplined manner. Our method allows using the most appropriate precision/complexity tradeoff for the design size and available computing resources, meaning it is now possible to create models that are not too complex to be usable, but which offer more precision (fewer false positives) than was previously possible. [ABSTRACT FROM AUTHOR]

Recent WiFi standards use Channel State Information (CSI) feedback for better MIMO and rate adaptation. CSI pro-vides detailed information about current channel conditions for different subcarriers and spatial streams. In this paper, we show that CSI feedback from a client to the AP can be used to recognize different fine-grained motions of the client. We find that CSI can not only identify if the client is in motion or not, but also classify different types of motions. To this end, we propose APsense, a framework that uses CSI to estimate the sensor patterns of the client. It is observed that client's sensor (e.g. accelerometer) values are correlated to CSI values available at the AP. We show that using simple machine learning classifiers, APsense can classify different motions with accuracy as high as 90%. [ABSTRACT FROM AUTHOR]

The presented work is based on behavior observation of different groups of students moving around in a non-school educational institution, in this instance, a technological museum. The work deals with a methodology proposal created in order to prepare elementary school students for visiting such an educational institution. Information that students need to acquire before visiting the museum is available on the school web pages, which are based on Instructional System Design principles. These principles are used for development of e-learning courses. Such web pages offer various levels of depth of information consistent with the depth of interest of individual students. The article presents a concrete task called "Simple Machines". These machines are interactive mechanical 3D exhibits with which the students will become acquainted during the visit to the museum. The purpose of the article is to test whether enhancing classroom education with the possibility of physically handling these aids will contribute to a better and lasting learning experience rather than studying only through a computer based multimedia course. The verification of this assumption is done by pedagogical experiment while visiting technological museum. This experiment verifies the growth and sustainability of students' knowledge. The students' responses to the preparation for visiting the exhibition are entered in a questionnaire. [ABSTRACT FROM AUTHOR]

In previous studies, we have reported a difference in how physical and virtual manipulatives support students' understanding of the physics definition of work in the context of simple machines. We have shown that students who use the virtual manipulative (a computer simulation) before performing a physical experiment provided the correct response to multiple-choice questions about work more frequently than students who first use the physical manipulative. In this paper, we further analyze students' responses to a series of questions about work in the context of inclined planes to explore the models students used to answer the questions. While we had anticipated that students who performed the physical experiment would incorrectly respond to the multiple-choice questions in accordance with their observations (i.e. a longer ramp requires more work due to frictional effects), we actually observed these students more frequently using an alternate model that a longer ramp requires less work. [ABSTRACT FROM AUTHOR]

Martha Madison's Marvelous Machines is a learning game created by Second Avenue Software to help middle school girls gain scientific intuitions and develop understanding of the properties and uses of simple machines. In 2011, during the pilot phase of the game's development, the game was played by a group of middle school girls and their game play was studied. This paper describes the results of the analysis of the data collected during the pilot, which included evidence of engagement in the game, as well as some increased affinity toward STEM practices. Also encouraging in the analysis was the discovery that the participants were noted to have high levels of communication and collaboration during the game play. [ABSTRACT FROM PUBLISHER]

Often computer simulation environments present students with an idealized version of the real world which can affect students' conceptual understanding. In this study we investigate the effects of completing an experiment in mechanics using this ideal world as compared to an identical experiment in the real world. Students in three of five conceptual physics laboratory sections completed the physical experiment while the other two sections performed the virtual experiment. The experiments were part of a unit on simple machines from the CoMPASS curriculum [1] which integrates hypertext-based concept maps in a design-based context. There was no statistically significant difference between the pre and post data of the students in the two groups. Students who performed the virtual experiment were able to answer questions dealing with work and potential energy more correctly, though neither group was able to offer sound reasoning to support their answers. [ABSTRACT FROM AUTHOR]

Our previous work has shown that experimentation with virtual manipulatives supports students' conceptual learning about simple machines differently than experimentation with physical manipulatives [1]. This difference could be due to the 'messiness' of physical data from factors such as dissipative effects and measurement uncertainty. In this study, we ask whether the prior experience of performing a virtual experiment affects how students interpret the data from a physical experiment. Students enrolled in a conceptual-based physics laboratory used a hypertext system to explore the science concepts related to simple machines and performed physical and virtual experiments to learn about pulleys and inclined planes. Approximately half of the students performed the physical experiments before the virtual experiments and the other half completed the virtual experiments first. We find that using virtual manipulatives before physical manipulatives may promote an interpretation of physical data that is more productive for conceptual learning. [ABSTRACT FROM AUTHOR]