Traditional Process Research Articles

Spatio-temporal variation of phytoplankton in Lake Chapala, Mexico, during 2012

In order to assess the composition and spatio-temporal variation of phytoplankton in Lake Chapala, a study was carriedout at ten sampling stations in January, May and September during 2012. A total of 60 species/morphospecies of netphytoplankton were recorded at the surface and at two metres depth. The Division Chlorophyta recorded the highestnumber of species (22), followed by Cyanophyta (20), Heterokontophyta (13), Euglenophyta (four) and Dinophyta(one). Cyanophyta species accounted for 84-90% of the abundance of the five divisions in the sampling months, withslight species turnover at the order level in this class. Multidimensional scaling analysis (NMDS) showed an evidentseparation of the phytoplankton community between sampling months forming three temporal clusters, consistent withthe exploratory similarity analysis (SIMPER), which also showed three temporal associations. While Bray Curtisordination analysis revealed a significant correlation between phytoplankton species and environmental variables, such asdissolved oxygen, transparency, irradiance, temperature, pH, dissolved oxygen and wind speed (p < 0.05). In conclusion,a clear dominance in presence and abundance of species of the Cyanophyta Division was observed in the lake during thepresent study; identifying the traditional succession process in the phytoplankton community assemblages, characteristicin water bodies with different levels of eutrophication.

Research on the design of automatic image processing function for intelligent face management system

Abstract Around the background of rapid development of intelligent technology, an efficient image processing system oriented to the smart management of human faces is focused on. The system is mainly developed towards high speed, high definition, high integration and reliability. The article investigates a novel automatic image processing algorithm, covering three key modules: automatic exposure control, color interpolation and chromaticity space conversion. The algorithm can process the output image of CMOS sensor in Bayer format in real time and adjust the image parameters to obtain a high-quality image. In terms of face recognition performance, the algorithm has a significant advantage in recognition speed compared with other algorithms, and the average recognition accuracy reaches 94.258%. In the practical application of ID card portrait processing, the image shows a more uniform grayscale distribution in the range of 5 to 255 after automatic color adjustment, and the color quality is significantly improved. Meanwhile, in the portrait enhancement experiments, the images obtained with this image automatic processing algorithm outperform the traditional ID card image processing methods regarding information entropy, mutual information, standard deviation and peak signal-to-noise ratio (PSNR).

Design of a light-sensitive tubular MoS2/C composite as the cathode for photo-enhanced rechargeable zinc-ion batteries

Utilizing solar energy to charge electrical energy storage devices has currently emerged as a hot and promising research direction to replace the traditional charging processes.

Research on inventory replenishment strategy of supply chain based on SPN

The warehousing and replenishment strategy of supply chain is comprehensively affected by various factors such as supply chain structure, demand change, supply source, inventory state. Supply chain warehousing replenishment is full of uncertain factors, in order to achieve the optimal replenishment process and the best replenishment strategy effect, this paper uses SPN(Stochastic Petri net) to build the supply chain warehousing replenishment model. Based on the basis of the traditional replenishment process, this paper optimizes the new supply chain warehousing management process, optimizes the priority management measures of goods in the process of supply chain warehousing replenishment process, designs the new replenishment strategy algorithm and designs the replenishment strategy function analysis. Using SPN model, this paper intuitively shows the warehousing management process, and describes the dynamic changes of warehousing replenishment in detail. Through the implementation of different warehousing replenishment strategies to solve the influencing factors of uncertainty, so as to avoid the problem of various supply chain warehousing shortage caused by poor warehousing management. Finally, by comparing the traditional warehouse management strategy and the SPN model optimization of the supply chain storage strategy, the research result shows that the SPN replenishment strategy model is more efficient than the traditional warehouse replenishment strategy model.

On the performance of pothole detection algorithms enhanced via data augmentation

Road infrastructure is necessary for any country to function as daily life depends upon it. Transport authorities monitor road infrastructure to identify distressed areas and repair them, enhancing users’ comfort and safety. Major steps have been taken in automating road monitoring using sensing- and vision-based technologies, reducing the level of subjectivity caused by traditional manual inspection processes. However, automated detection of distressed areas is often challenged by an insufficient amount of training data or uneven class balance within datasets. Data augmentation techniques offer the opportunity to enlarge the size and quality of existing datasets. This paper investigates how various augmentation techniques impact the performance of a set of representative detection algorithms applied to detecting highway potholes. The results suggest that: firstly, no specific augmentation seems to be more beneficial than the others in this domain; and second, using a moderate amount of augmentation techniques can provide performance gains. This work forms the basis for performance improvement of multiple detection algorithms, used for transport infrastructure management, and it consequently contributes to enhanced transport systems simulation and monitoring.

Green supply chain management strategy in the Indonesian construction industry using analytic network process to improve sustainability

The construction industry is among the sectors associated with high environmental risks, with the construction supply chain process being a primary concern due to its potential for environmental damage. The absence of green practices in the Indonesian construction industry has led to an ongoing increase in energy consumption and greenhouse gas emissions, posing a significant environmental threat. Green supply chain management (GSCM) is a concept that integrates the environmental aspect into traditional supply chain processes and can provide benefits not only on environmental performance but also on economic and organizational performance. This study aims to derive a suitable GSCM strategy in the Indonesian construction sector and investigate the relationship of GSCM strategy on sustainability performance. This study employed ANP to select the GSCM strategy and correlation analysis to examine the relationship involving professionals and practitioners in construction. The findings revealed that the efficiency-based strategy had the highest weight among the various GSCM strategies, and sensitivity analysis demonstrated that this strategy was not significantly affected by changes, making it the most suitable GSCM strategy. Also, the result indicates that the efficiency-based strategy moderately impacts sustainability performance. Therefore, the implementation of efficiency-based strategy can improve the sustainability of the Indonesian construction industry.

The modern scientific mystery of traditional Chinese medicine processing——take some common traditional Chinese medicine as examples

The processing of traditional Chinese medicine (TCM) is a unique traditional pharmaceutical technology in China, which is the most important feature that distinguishes Chinese medicine from natural medicine and plant medicine. Since the record in Huangdi Neijing (Inner Canon of the Yellow Emperor), till now, the processing of TCM has experienced more than 2000 years of inheritance, innovation, and development, which is a combination of TCM theory and clinical practice, and plays an extremely important position in the field of TCM. In recent years, as a clinical prescription of TCM, Chinese herbal pieces have played a significant role in the prevention and control of the COVID-19 and exhibited their unique value, and therefore they have become the highlight of China's clinical treatment protocol and provided Chinese experience and wisdom for the international community in the prevention and control of the COVID-19 epidemic. This paper outlines the research progress in the processing of representative TCM in recent years, reviews the mechanism of the related effects of TCM materials after processing, such as changing the drug efficacy and reducing the toxicity, puts forward the integration and application of a variety of new technologies and methods, so as to reveal the modern scientific mystery of the processing technology of TCM.

Advanced technologies of FBAR for tuning effective electromechanical coupling coefficient

The film bulk acoustic wave resonator (FBAR) is one of the most popular devices in the radio frequency field. Numerous researchers are simultaneously working to develop an effective electromechanical coupling coefficient (keff2) tuning technology, aiming to meet the diverse bandwidth requirements of the 5 G era. Based on a traditional FBAR process, this work prepares several different devices and then analyzes the four factors that influence keff2 from the perspective of process, material, and design. The pillar structure achieves the largest keff2 tuning range of 2.84% (33 MHz). The composite piezoelectric film can tune the overall resonant frequency in a wide range, and its keff2 tuning range is 1.75% (12.5 MHz). The area effect tunes the fs in a small range, ultimately achieving a keff2 tuning range of 1.16% (11 MHz). Film stress regulation achieves keff2 tuning range of 2.73% (30 MHz), but it has the greatest difficulty. The integration of various keff2 tunable methods has important guiding significance for the design of FBAR filters in the future.

Research on hybrid remanufacturing process chain of laser cladding, CNC machining and ultrasonic rolling for aero-engine blades

There are high geometric accuracy and mechanical performance requirements in the repair and remanufacturing process for aero-engine blades. Therefore, a synergy of multiple processes is necessary for blade repair. This paper mainly studies the coupling relationship between multiple processes of aero-engine blade repair and the influence and contribution of each process to the final surface integrity of the blade. Firstly, a hybrid remanufacturing process chain of laser cladding, CNC machining and ultrasonic rolling is proposed for the requirements of blade repair. Then, a numerical model of the geometric feature construction and transient thermal and structural behavior in the hybrid remanufacturing process chain for blades is established. Finally, the interaction law among the three processes of laser cladding, CNC machining and ultrasonic rolling is analyzed. The results show that a larger powder feed rate is allowed in the laser cladding process of the hybrid remanufacturing process chain for blades. Thermal deformation and residual stress caused by high powder feed rate and thin-walled structure can be optimized by CNC machining and ultrasonic rolling. In addition, the influence mechanism of the three processes on the final surface integrity is revealed. It is shown that the effects of the hybrid remanufacturing process parameters on the remanufacturing quality are different from that of the traditional process. The feasibility of the hybrid remanufacturing process chain for blades is illustrated by the verification experiment on the damaged blade.

Fabricating large scale titanium alloy thin-walled double-sided part by hot-wire arc additive manufacturing

Using traditional process to fabricate large scale titanium alloy thin-walled part such as wings and grid rudder, has the problem of low material utilization. Wire arc additive manufacturing (WAAM) is a flexible manufacturing technology with high deposition efficiency and high material utilization. In addition, a hot-wire device is attached to the WAAM system as auxiliary heat source, and the WAAM system becomes hot-wire arc additive manufacturing (HWAAM) system. In this paper, a large scale titanium alloy drone frame was fabricated by HWAAM. A double-side alternating deposition method was proposed to reduce the thermal deformation of the substrate. Two additional sections of the drone frame was taken off for mechanical analysis. The shape of the whole drone frame is completed and the mechanical properties meet the requirements of the project.

Study on high cycle fatigue performance at elevated temperature for a selective laser melted Ti6Al4V alloy

Selective laser melted Ti6Al4V alloy has broad application prospects in aeroengine field. In this study, high cycle fatigue tests were carried out systematically using hourglass shaped specimen (K t=1) at 400 °C. The S-N curves were acquired and compared with data of the casting and the forging. The anisotropy and the defect effects of the fatigue performance were analysed. The LOF defects on the surface and subsurface preferentially act as the fatigue crack initiation site for almost all the tested HCF specimens. The position and irregularity of defect have greater influence on elevated temperature fatigue life than the defect size. The fatigue strength of horizontal orientation is lower than that of vertical orientation, because of the characteristics of larger size, more irregular shape and higher density for the crack source defects of horizontal specimens. The fatigue performance of the SLM Ti6Al4V alloy in this study is better than that of the casting and even the forging, but the dispersion of fatigue data of the SLM alloy is much greater than that of the both traditional process alloys.

The Value of Menumbai Sialang Tradition in History Learning Contributes to Character Building

This study analyzes the traditional values of menumbai sialang to shape Pancasila students' character in high school. It uses a descriptive qualitative approach with Vygotsky's constructivist theory. Data collection includes non-participant observation, interviews, and documentation, analyzed through triangulation. Results: (1) Swearing sialang is an ancient local tradition representing trinity through a procession for collecting forest honey. (2) Values aligned with Pancasila student indicators: (1) Swearing sialang is an ancient local tradition still in the process of taking forest honey with certain rituals representing the trinity relationship. (2) some values align with the character indicators of Pancasila students, namely (a) having faith-fearing God Almighty, reflected in the traditional procession as an expression of gratitude for God's gifts. (b) Global diversity, reflected in the awareness of the Petalangan tribe on the importance of maintaining their local culture. (c) Gotong royong can be reflected in the collective procession of gathering sialang. (d) Independence and responsibility are reflected in the efforts of the Petalangan tribe, who strive to conserve all resources. (e) Critical thinking, reflected in establishing customary sanctions for violators to maintain the balance of nature. (f) Creative, reflected in the ability of the Petalangan tribe to design environmentally friendly traditional tools to support traditional processions. (3) Menumbai sialang values can be integrated into high school history lessons through contextual learning, field trips, and the involvement of traditional leaders.

Reality of additive project realization

Purpose: This study aims to formulate an additive project monitoring conceptual framework in which non-financial indicators help achieve sustainable resource use. Realizing this purpose, the paper aims to deepen the additive economy's theoretical issues by analyzing its essential component, additive project management. Study design/methodology/approach: The study is based on qualitative research, including the self-observation of the realization of fourteen finished social projects, fueled by a systematic literature study on project management. Findings: Based on an analysis of the 14 realized projects, a broader look at the issue of monitoring is proposed than in the traditional process described in most project implementation methodologies, including Project Cycle Management. This study perceives monitoring as a broader issue aimed at ensuring procedures for the correctness of project implementation in all critical aspects of project management. Originality/value: The primary theme important for theory and practice emerges from this research. Although this study is based on analyzing 14 projects' realizations, there are research limitations. Future studies should focus on a broader analysis of project participants' experiences. Besides, the study should explore the project's realization in different sectors and countries, considering that organizational culture affects management practices.

Negotiation Between Customary Law and Islamic Law: The Practice of Palang Pintu in The Traditional Marriage in The Betawi Muslim Community

In traditional Betawi weddings, there is usually a procession of the Palang pintu tradition—a negotiation attitude in Islamic law. This research was conducted to clarify the legal status of the Palang pintu tradition in the review of Islamic law so that people do not hesitate to follow it. This research uses a qualitative approach with 'urf theory and maslahah theory. The primary data were garnered from interviews, while the secondary data were sourced from fiqh literature, books related to marriage, and relevant research. The research findings show that the Palang pintu tradition has also experienced modern developments, affecting how the legal status is different. Since the Palang pintu tradition is considered contrary to the principles of the Islamic law that taught convenience in the past, there is a difference between Palang pintu from an Islamic point of view, specifically 'urf fasid and 'urf shahih, and it can be practiced. The difference between the previous palang pintu tradition and the current palang pintu tradition is that it is no longer burdensome or difficult, but rather easy.Keywords: marriage; palang pintu tradition; sustainable terms.

Gastronomic potential of food at the maulid sasak tribe event in North Lombok Regency

Gastronomy is a habit of eating to elements of religious, cultural, social, historical and economic values for a certain community, especially the sasak tribal community in Lombok. This study aims to identify and analyze: (1) Food gastronomic particle and (2) Food gastronomic processing and presentation techniques at the sasak tribal customary maulid event in North Lombok district. This research is a qualitative research and includes field research. This research was carried out in a certain community environment, namely the sasak tribe, especially in the northern Lombok district. The sampling technique is in the form of purposive sampling with special purposes epen gawe, ran, tribal council, and professional chefs in the field of culinary gastronomy. The data collection techniques used are observation, interview and documentation. The data analysis technique used is triangulation by drawing conclusions from the three data collections. The results showed that: (1) The gastronomic efficiency of food served at the sasak tribal traditional maulid event in North Lombok regency is divided into 3 classifications of types of dishes, namely vegetables (side dish), side dishes (main course), and traditional snacks (dessert) and (2) Processing techniques used in processing maulid nabi dishes, namely the deep fry, grill, steam, sautee, boil and simmer. As for serving dishes using a container in the form of a tray (nare) with begibung eating procedures.

수처리용 섬유여과기 성능평가인자 도출 및 평가방법개발에 관한 연구

This study investigated the performance evaluation factors for the fiber filtration process in water treatment and researched the performance evaluation items and methods for assessing these factors. South Korea's water supply and sewage policies focus on modernizing civil structures and networks and introducing advanced treatment facilities. Reflecting these policies, the Waterworks Act describes the minimum requirements that water supply facilities must meet to ensure a consistent quality (water quality) of drinking water. Therefore, the Waterworks Act has introduced usage standards for water treatment processes and materials for water supply to manage the quality of drinking water. Firstly, the Ministry of Environment has issued water supply facility standards, which explain the minimum standards for water supply facilities. Secondly, there are hygiene and safety standards (suitability certification) and group standard certification. Standards and certifications are established to evaluate materials and products suitable for water supply facilities. Thus, two criteria are required to apply them to water supply facilities.
 In Republic of Korea, a new concept of water treatment process has been developed that can replace traditional water treatment processes. This involves a fiber filtration process that contracts and relaxes fiber strands, removing turbidity and suspended solids. There is a movement to adopt this process. Such fiber filters can provide better treatment efficiency, use smaller sites, and have faster processing speeds. However, the use of different evaluation methods by manufacturers has prevented consumers from accurately understanding the performance and raised doubts about the reliability of the technology.
 The result of this study is the development of a standardized performance evaluation method, and the derivation of performance evaluation factors for fiber filters. Through standardized performance evaluation factors and methods, an objective performance evaluation of the fiber filtration process can be conducted.

Survey Uses May Influence Survey Responses.

Traditional validation processes for psychological surveys tend to focus on analyzing item responses instead of the cognitive processes that participants use to generate these responses. When screening for invalid responses, researchers typically focus on participants who manipulate their answers for personal gain or respond carelessly. In this paper, we introduce a new invalid response process, discordant responding, that arises when participants disagree with the use of the survey and discuss similarities and differences between this response style and protective responding. Results show that nearly all participants reflect on the intended uses of an assessment when responding to items and may decline to respond or modify their responses if they are not comfortable with the way the results will be used. Incidentally, we also find that participants may misread survey instructions if they are not interactive. We introduce a short screener to detect invalid responses, the discordant response identifiers (DRI), which provides researchers with a simple validity tool to use when validating surveys. Finally, we provide recommendations about how researchers may use these findings to design surveys that reduce this response manipulation in the first place.

考虑碳排放成本的多车型农资配送路径优化研究

Agriculture is the foundation of the national economy, and agricultural materials are the basis of agricultural development. As the three rural issues (agriculture, countryside, and farmers) become increasingly important, the distribution of agricultural materials attracts extensive attention. Given the slow development of rural logistics, the traditional agricultural material distribution process encounters many problems, such as cumbersome distribution links, high distribution costs, and low profit for enterprises, which in turn cause high production costs and low income for farmers. In consideration of battery energy consumption and soft time window constraints, this study adopted the agricultural material distribution route as the study object and established an optimization model of the agricultural material distribution route with fixed , transportation, energy consumption, time window penalty, and carbon emission costs as the objective functions. With regard to the algorithm, the operation of differential update and chaotic disturbance was innovatively enhanced and applied to the improved ant colony algorithm to simulate the model and obtain the optimal distribution route optimization model. Results show that the traditional ant colony algorithm improved by differential updating and chaotic disturbance has the advantages of low distribution cost, reasonable route, small number of activated vehicles, and short convergence time. Compared with the traditional ant colony algorithm, the improved ant colony algorithm can converge to the global optimum faster. This study provides guidance and suggestions on route selection and vehicle configuration to reduce costs and increase efficiency and offers certain theoretical support to alleviate urban traffic pollution and implement carbon trading policies in the future.

DNA Computing: A Paradigm Shift from Silicon to Carbon

DNA computing, a fascinating frontier in the realm of biological computing, marks a paradigm shift from traditional silicon-based processing to the innovative realm of carbon-based computation. Rooted in the principles of molecular biology, DNA computing harnesses the inherent parallelism of biological systems, offering a revolutionary approach to data storage, processing, and solving complex problems.

Image feature extraction algorithm based on visual information

Abstract Vision is the main sensory organ for human beings to contact and understand the objective world. The results of various statistical data show that more than 60% of all ways for human beings to obtain external information are through the visual system. Vision is of great significance for human beings to obtain all kinds of information needed for survival, which is the most important sense of human beings. The rapid growth of computer technology, image processing, pattern recognition, and other disciplines have been widely applied. Traditional image processing algorithms have some limitations when dealing with complex images. To solve these problems, some scholars have proposed various new methods. Most of these methods are based on statistical models or artificial neural networks. Although they meet the requirements of modern computer vision systems for feature extraction algorithms with high accuracy, high speed, and low complexity, these algorithms still have many shortcomings. For example, many researchers have used different methods for feature extraction and segmentation to get better segmentation results. Scale-invariant feature transform (SIFT) is a description used in the field of image processing. This description has scale invariance and can detect key points in the image. It is a local feature descriptor. A sparse coding algorithm is an unsupervised learning method, which is used to find a set of “super complete” basis vectors to represent sample data more efficiently. Therefore, combining SIFT and sparse coding, this article proposed an image feature extraction algorithm based on visual information to extract image features. The results showed that the feature extraction time of X algorithm for different targets was within 0.5 s when the other conditions were the same. The feature matching time was within 1 s, and the correct matching rate was more than 90%. The feature extraction time of Y algorithm for different targets was within 2 s. The feature matching time was within 3 s, and the correct matching rate was between 80 and 90%, indicating that the recognition effect of X algorithm was better than that of Y algorithm. It indicates the positive relationship between visual information and image feature extraction algorithm.