Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of formulation and revision of industrial standards for salted sea cucumber(Stichepus japonicus)

Salted sea cucumber is a popular processed sea cucumber product,which has high nutritional value and good storage qualities. In order to ensure the quality of commercially salted sea cucumber and protect the interests of consumers,the Ministry of Agriculture issued the industry standard SC / T 3215—2007 " salted sea cucumber " in2007. However,with the development of salted sea cucumber processing industry,the standard SC / T 3215—2007fails to meet the actual industrial requirements. To this end,the standard SC / T 3215—2007 was revised in 2012 and the new standard SC / T3215—2014 " salted sea cucumber" was issued in 2014. This paper not only introduced the salted sea cucumber standard on the basis of the basic framework,but also compared the major changes between standard SC / T 3215—2007 and SC / T3215—2014. The new standard includes the regulations prescribing the raw and auxiliary materials as well as processing requirements,and processing method of raw material; classifying the product into three categories; adding the regulations for protein and salinity on the surface of product,and also modifying the product specification and salinity index; the provisions of direct reference to the standards for net content,contaminants,and the veterinary drug residue. Emphasis is placed on the elaboration on the content and basis of the important indicators for the revision of main technical parameters in the SC / T 3215—2014,including some physicochemical indexes such as sensory requirements,moisture,protein,salinity. The protein for first- grade product should be12% or higher,9% or higher for second- grade product and 6% or higher for qualified product. Salinity of first-grade product should be 20% or lower; 22% or lower in salinity for second- grade product and 25% or lower for qualified product. Salinity of all the products must be 65% or lower in moisture content and 3. 0% or lower in salt on surface. Research showed that the new standard " Salt sea cucumber" helped to standardize the production and improve the quality of products from the viewpoint of guaranteeing the fair and reasonable market and protecting the rights of consumers. The paper suggested that the standard should be actively implemented by manufacturing enterprises,market supervisory bodies and all consumers. This research can help enterprises and testing departments to understand the standard correctly,and help the promotion and application of this standard as well as providing reference to related personnel and consumers for accurate judgment of product quality.
Study of modes of communication between the server and the client configured by WinCC

Good communications between the server and the clients are required in the supervision and control system. Several kinds of communication modes are provided by configuration software WinCC. According to a large road tunnel supervision and control system, four kinds of communication modes are introduced and a close study and comparison of these modes is made in this paper.
Analysis of a visually significant bar code system based on circular coding

Circular Coding [19] is a 2D coding method that allows data recovery with merely a cropped portion (size W ×H) of the code and no carrier image knowledge involved. The B-bit payload is repeated from row-to-row, with each row being circularly shifted by D positions relative to the previous row. Every V rows, a phase row is interleaved between the payload rows. It is also shifted in the same manner as the payload rows. The encoded data array is embedded in a halftone image by shifting the dot-clusters within the halftone cells. The resulting image can be printed, and then captured with a mobile phone camera. The encoded data array is extracted from the captured halftone image by detecting the shifts in the dot-clusters. In this paper, we introduce the encoding and decoding system and investigate the performance of the method for noisy and distorted images. For a given required decoding rate, we modele the transmission error and compute the minimum requirement for the number of bit repeats. Also, we develope a closed form solution to find the the corresponding cropped-window size that will be used for the encoding and decoding system design.
CFlat : An Intermediate Representation Language for the Purpose of Software Migration to Java and C#.

In this thesis we will present the design and implementation of an intermediate representation language created for the purpose of software migration to Java and C]. Furthermore we will examine a set of transformations performed on programs of this language, followed by the discussion of a set of programs which perform semantic analysis. Finally we will examine the testing framework built around this language. The result of this thesis is a language built as much as feasible within the intersection of Java and C]. Other results include the aforementioned program transformations, semantic analysis and testing framework.
Research on PWM Method Under Low Switching Frequency

In the high-power traction drive system such as electric locomotive,a multi-mode PWM method is usually used due to the switching frequency limitation of the voltage source inverter.In this paper,the selection and the achieve method of different PWM modes are analyzed and a central 60°modulation method is applied under the low carrier wave ratio.The transitive strategy is proposed to realize smooth transition of individual modes including the asynchronous PWM,synchronous PWM,central 60°PWM and the square waveform.The simulation results proved the validity of the strategy.
Capability weightiness degree analysis of weaponry system-of-systems based on BN theory

Facing on the continual changing of future combat conditions,the designer of weaponry system of systems(WSoS) needs to identify and recognize the capability set which is important to significant improvement in SoS effectiveness under limited resources and restricted technology.Using an interval number with confidence to measure WSoS capability and using beta distribution to picture the prior distribution of WSoS performance index are proposed.A WSoS capability weightiness degree analyzing model is constructed based on Bayesian network theory and WSoS capability index break-down structure,and a calculating method of capability weightiness degree by Bayesian inference is proposed.The result indicates that the proposed model is an effective analysis tool for WSoS capability weightiness degree.
Updating short-term destination policies with new information in a mining complex: A fast mechanism using machine learning

New digital technologies including the development of advanced sensors and monitoring devices have enabled a mining complex to acquire new information about the performance of its different components. The short-term production plan, which determines production decisions about extraction sequence, destination policies, fleet assignment and allocation, and processing stream utilization is significantly dependent on the performance of and interaction between the different components of the mining complex. A minor change in the performance of any component can significantly change the processing capabilities and consequently the net revenue of a mining complex. Existing technologies, though they integrate conventionally collected new information, are not able to integrate the new incoming information to adapt the short-term production plan. This paper presents a new continuous updating framework based on policy gradient reinforcement learning and ensemble Kalman filter to adapt the short-term production plan regarding destination policies of material in a mining complex with new information. The framework first uses ensemble Kalman filter to update the uncertainty models of the different components of a mining complex with new information. Then, the updated uncertainty models are utilized in a neural network based policy gradient reinforcement learning algorithm to adapt the short-term destination policies of material in a mining complex. The proposed framework is applied to a copper-gold mining complex, which shows its ability to adapt the short-term destination policies of material with new information. The framework better meets the different production targets while improving the cumulative cash flow compared to the industry standard fixed cut-off grade policy.
A walking robot

An easy to maintain and easily avoiding obstacles balanced walking robot, which includes an X-axis pair of X axis guide and the Y-guides of the pair of Y axis; corner portions connecting the X-guides and the respective end portions of the Y-guides block; pair of X axis moving body and the moving body one pair of Y-axis; the Y-axial movement of the plug body is inserted and the X-rod moves axially to the body X, the X axis and intersecting the vertical rod portion connected to X-axis Y-rod lever; X-axis driving mechanism driving the X axis moving body is moved in the X-axis direction and the Y-axis driving mechanism driving the Y axis moving body moving in the Y-axis direction; provided at corner portions of the block, X-axis the Y-rod and the rod end portion, a plurality of the Z-axis drive Z-axis driving mechanism corner block, X-axis and Y-axis moving body of the moving body.
CALCULATION OF 3D STATOR TEMPERATURE FIELD OF LARGE AND MEDIUM SCALE ASYNCHRONOUS MOTOR ON THE BASIS OF THEORY OF FLUID SIMILARITY AND 3D FEM

In this paper, Theory of Fluid Similarity and 3D FEM is used to calculate the 3D stator temperature field of large and medium scale asynchronous motor, which have radical and axial ventilating system, and both case of considering interturn insulation or not are calculated. The influence of interturn insulation on stator temperature field is analysised. The related factors affecting the stator temperature field is study in use of FEM and some useful results are achieved.
An intelligent conversational bot to help users cope with stress online

In this work, we present a chatbot that is able to provide emotional support to stressed users. Based on inputs provided by its users, in the form of text or voice messages, the system is able to: (1) identify different types of stress, (2) select appropriate types of support and (3) construct corresponding support messages and send them back to the users. It uses IBM’s services for natural language processing (NLP) and dialogue flow management, via the respective API’s. The chatbot can also be connected to online social networks such as Facebook Messenger, allowing users to interact with it via such platforms (e.g., through desktop and mobile devices).
Study of the Analysis of the Incident Affect in Freeway through Traffic Dynamic Approach

Using traffic dynamic approach the authors analyze the incident affect of freeway. The formulations of the queuing rates, discharging rate, total delay, total travel time etc under the incidental congestion are derived. Also the authors compare the traffic dynamics approach with that of deterministic queuing analysis. The study results demonstrate that the dynamic algorithm is accurate. For the purposes of illustration and verification, a numerical example problem is provided. 
A computer aided diagnosis system for lung cancer detection using support vector machine

Computer aided diagnosis (CAD) is started to be implemented broadly in the diagnosis and detection of many varieties of abnormalities acquired during various imaging procedures. The main aim of the CAD systems is to increase the accuracy and decrease the time of diagnoses, while the general achievement for CAD systems are to find the place of nodules and to determine the characteristic features of them. As lung cancer is one of the fatal and leading cancer types, there has been plenty of studies for the usage of the CAD systems to detect lung cancer. Yet, the CAD systems need to be developed a lot to identify the different shapes of nodules, lung segmentation and to have higher level of sensitivity, specifity and accuracy. In this paper, Lung Image Database Consortium (LIDC) database is used which comprises of an image set of lung cancer thoracic documented CT scans. After performing image pre-processing, segmentation, feature extraction/selection steps, classification is utilized using Support Vector Machine (SVM) with Gaussian RBF and 97.3% of specificity and 92.0% of sensitivity is achieved which is superior to recently proposed CAD systems.
Prediction method of radiated noise by engine block

The prediction method of sound and vibration of the engine block is described.The integrated method comprises the multi-body dynamic method(MDM),finite element method(FEM) and acoustic simulation method(ASM). By multi-body dynamic method,the loads that the engine block is subjected can be obtained;by FEM the vibration characteristic can be predicted;and by ASM,the radiated noise of the engine block and the pressure at arbitrary point in the medium can be calculated.The comparison of the data from predicted quantity and that from the test proves that this method owns a high precision,and thus can be used to direct the virtual design of low-noise engine block.
Research on Single Well Production Prediction Based on Improved BP Neural Networks

In order to ensure oil field production for sustainable development,aim at oil field production,the predictive model based on improved BP neural networks is put forward.The structure of traditional BP neural networks and its training algorithm are studied,some weak points of it are found,such as easy to fall into local minimum value and slow convergence.The BP neural networks improved by L-M algorithm is put forward.At the end,simulation experiment of the predictive model based on improved BP neural networks is illustrated.The result of which proves the practicability and the feasibility of this algorithm and high use value in the oil well production prediction.
Dynamic Analysis of the Single Degree of Freedom Valve Train

A lumped-parameter model of an internal combustion engine's valve train was developed for the analysis of the dynamic behavior.The model took into account several factors,such as flexibility of system,loss of energy,separation of system and so on.The valve lift,velocity and acceleration were predicted by a single degree of freedom model.Also the influence of impact between valve and valve seat was analyzed.The results showed that serious vibration would occur when the valve opened and closed,and became more serious with the increments of the cam shaft speed.
Frequency Band of Pulse Current Method for the Measurement of PD in Transformer

During the detection of partial discharge (PD) in transformer, it is necessary to select a proper frequency bandwidth of measu rement for improving quality of the detection. A suggested frequency range of PD measure3ment is presented in this paper. At first, an imitating experiment with typical narrow PD is carried out in an actual transformer. The imitative curren t of PD pulse is input into the winding at different positions, and response at measuring-terminal is detected so that the PD signal can be gained. Then the en ergy region of PD in transformer is studied by analyzing the power spectral dens ity of the signal. It is found that the energy descends significantly over 10 MH z in frequency domain. It indicates that the energy of PD centralizes in the fre quency below 10 MHz. Finally, the effect of frequency bandwidth of measuring dev ice on the amplitude of PD signal is studied. The PD signal is processed by a se ries of low-pass digital filters, so that influence of different measuring devi ces on signal can be simulated. It shows that the amplitude of the processed sig nal has less relationship with the filter when its upper frequency is over 12 MH z. It is presented that the band width of PD measuring device can be 8 to 20 MHz .
Influence of Lean Procurement Tools on Performance of Procurement Function in Agriculture and Food Authority, Kenya

Procurement in Kenya public institutions is characterized by resource wastage, corruption resulting to the lack of value for money. This study sought to determine the influence of lean procurement tools on the performance of procurement function in public institution a case of Agriculture and Food Authority. In specific, the study sought to determine the influence of Just in Time, E-procurement, Supplier Relationship Management and Continuous Improvement on the performance of the Procurement function. Descriptive research design was employed. The target population of the study was 8 directorates of Agriculture and Food Authority with accessible population of 450 and a sample of 82. Data was collected analyzed using SPSS. Demographic, descriptive, and inferential analysis were carried out and the findings presented in form of tables and figures. The study established that Just in Time, E-procurement, Supplier relationship Management and Continuous Improvement have a positive and significant relationship with the performance of procurement function in Agriculture and Food Authority. The study concluded that an improvement on just in time, eprocurement, supplier relationship management and continuous improvement leads to improved performance of procurement function. The study recommended for improvement zero inventories, zero lead time, e-tendering, supplier development, reduced variability among other recommendations.
Robust Hybrid Intelligent Based Motion Control of Industrial Robot Manipulators for Unstructured Dynamic Environment

The intelligent robot system is credited with a commendable task of moving in an unstructured dynamic environment with a little period information without a chance of being collided. This interesting capability is apparently the subject of research for more scholars then researchers in robotics. This study investigates moving of a robotic arm in the presence of any obstacle. The robots that are capable of working in unpredictable and changing environment will be suitable and effectively used in wide range of applications. Moving a robot arm around obstacle needs a special skill which is akil to intuitive skill for human beings. Intuitive skill is translated in to instructions for a robotic arm is a Himalayan task. Neuro fuzzy systems are excellent in determining the input and output relationships using a simple data. The traditional fuzzy logic system is replaced with the back propagation neural network. A robotic arm could be trained to plan its movements averting collision with obstacle in its area. This is possible only with neuro fuzzy techniques since several of its controllers are trained using simple data received from human control of robotic arm and this study quantifies and compares their performance. The suggestions for possible avenues for future work are also explained.
Intoxication Identification Using Thermal Imaging

In this chapter, seven different approaches are presented for identifying persons who have consumed alcohol. The main concept is to identify a drunk person based on the thermal signature of his face. The thermal map of the face changes as the person consumes alcohol due to the increased activity of the blood vessels. The methods are mathematically supported and present high rate of identification success. The experi- mental material was based on a systematically created database which includes the thermal images of the drunk persons as well as the thermal images of the face of the corresponding sober persons. This database is freely available on the web and can be used by the scientific community. In each method, different features are extracted for intoxication identification. The advantage of the majority of the methods is that drunk identification can be achieved without employing the image of the sober person for comparisons. Accordingly, a commercial system incorporating some of the presented methods does not require the existence of a database with thermal images of sober faces, thus it will be capable to operate on unknown persons. The achieved identification success for each separate method is over 80%.
Development Trend of Casting Technique and Computer Simulation

Casting industry with important function on the development of national economy and strengthen of the national defence, is the main part of manufacturing industry. Foundry technology is the important aspect of advanced manufacturing technique. It is the developmental trend of manufacturing technique of casting figuration to be lightweight, accurate, Digitization, networked and greenized, and foundry technology is developing at higher quality, lower costs, short procedure, fewer consume, lower energy consumption and pollution-free. Founding of super huge castings is also important field of the development of foundry technology. Now, information technology is promoting over all level of casting technique roundly, among them computer simulation emulation, which is targeted on multi-subject, multi-measurement, high-specification, high-precision and high-efficiency, has been used in casting field . In future, the technology on casting tend to be on the direction of network and green.
RESEARCH ON COMMON-MODE VOLTAGE REDUCTION IN MULTI-LEVEL INVERTER

PWM technology for common-mode voltage reduction in three-level inverter is investigated whereas common-mode voltage generated by two-level inverter can only be reduced by an additional filter. With effective on-off states in three level inverter, common-mode voltage generated by three-level inverter is analyzed, then a conclusion is gained that common-mode voltage can be reduced by using software in odd-level inverter. Reducing and canceling common-mode voltage methods are presented using SPWM (Sinusoidal Pulse Width Modulation). Simulation results validate their correctness. A comparison is also made among their effects on motor performance, and then usability of the proposed methods is analyzed.
Design of LED Driving SMPS for Large Traffic Signal Lamp

In this study, SMPS to drive LED traffic signal light for the railroad and airport was designed and its electrical characteristics was measured. The output voltage, output current and its power efficiencies to the input voltage 8~12VAC and 8~16VDC were 6VDC, 1.85ADC and >70%, respectively. Also the power factors of the SMPS were above 0.75 in the AC input voltage range.
Android malware detection technique via feature analysis

The rapidly increasing popularity of the Android platform has resulted in a significant increase in the number of malware compared to previous years. Since Android offers an open market model, it is an ideal target to launch malware attacks. Due to this problem, a lot of research work has been proposed to protect users from attacks. However, such protection cannot last long as attackers will usually find ways to defeat protection mechanism. As a result, this paper aims to develop an effective malware detection technique. The proposed method focuses on static analysis approach, which utilizes features from permissions, intents and API calls of an Android application. In order to create a sensitive and representative feature set, the proposed method also uses the correlation-based feature selection method. The final feature set will be fed into the support vector machine to perform the classification. Experimental results have shown that the proposed method achieved reliable detection accuracy at 95% and outperformed the benchmark method