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Return orbit design and characteristic analysis are very important issues in manned lunar missions. In this paper, a three-impulse return orbit scheme is studied. First, a convenient method based on the conical surface of the hyperbolic excess velocity is proposed, which can effectively perform an approximate analysis of the velocity increment characteristic. Second, a serial orbit design strategy is presented to determine the entire return orbit from the lunar parking orbit to the intended landing site. In the initial design, a three-segment orbit patched method based on the pseudo-perilune parameters is applied. Backward and forward calculations are conducted in the hybrid orbit model and the patched-conic model respectively, with the perilune of the lunar escape orbit as the dividing point. In the accurate design, a two-segment orbit patched method is employed in the high-fidelity model. Finally, numerical simulations are used to verify the effectiveness and feasibility of the orbit design strategy. According to many simulation results achieved by this strategy, the characteristics of fixed-point return window and velocity increment are further analyzed.

Graph pattern matching searches a data graph for all instances of one or more query patterns. Since it is one of the most fundamental problems in graph analytics, many graph pattern matching systems have been proposed with distinct features to provide a mix of flexibility and performance, and it is generally accepted that distinct use cases may necessitate the use of different systems. In this paper, we propose Dryadic, a system which integrates comprehensive flexibility features, yet can still outperform four state-of-the-art graph pattern matching systems on the primary use cases they target. Unlike existing systems that employ a case-by-case design strategy, all functionalities of Dryadic are centered around a powerful intermediate representation, the computation tree structure, which encodes the matching algorithms for arbitrary patterns. Dryadic implements novel techniques to optimize the computation tree and maps it to different backends to perform compiled, interpreted, or distributed graph pattern matching. Extensive experiments on nine real-world graphs of different scales show that Dryadic, despite its all-in-one nature, is often one to three orders of magnitude faster than other systems in three common usage scenarios.

This paper examines the work of "frontline mediators," a term used by public librarians to describe the practice of facilitating the use of online welfare applications. As welfare agencies closed their offices and required clients to access services online, public librarians operating in low-income communities adopted new practices to facilitate their clients’ use of web applications for welfare and other relevant public services. Pulling from interviews and observations from a multi-year ethnographic study, I discuss the emergence of frontline mediators, and examine the key practices and attributes involved with their work. Frontline mediators care for their clients and their clients’ information needs. Thus, I argue the idea of caring relationships should be at the center of public service design strategy. The frontline mediator case study offers relevant lessons for human-computer interaction and design researchers interested in broader questions of democracy, civic engagement, and public service.

China's aging population is becoming increasingly serious, and with the gradual popularization of big data technology, smart senior care communities are developing rapidly. However, most of the relevant studies focus on the policy level or the planning and architecture field, and there are still some limitations in the design and research of indoor facilities. In particular, the related research on the physiological and psychological characteristics of the elderly needs to be further explored. By investigating the status quo of the smart senior care community, and by analyzing the elderly's physical and mental needs and life activity line, this paper summarizes the innovative design strategy of indoor facilities design in the smart senior care community based on human factors.

This paper addresses robust control design problem for parameter dependent (PD) systems subject to actuator saturation. The dead-zone nonlinearity is considered for regional stability and performance analysis of control design strategy. The parallel distributed compensation static output feedback controller is derived in new gain-scheduling scheme satisfied the generalized sector condition. Based on the fuzzy Lyapunov function approach, the parametrized stabilization non-convex conditions are reformulated in linear matrix inequalities (LMI) by congruence transformations. The proposed method leads to less conservative constraint on saturated PD controller synthesis. The effectiveness of the design methodology is demonstrated through simulations.

This paper investigates the design and evaluation of a set of 9 element, series-fed, patch arrays. A simple design approach and formulas are presented. This is followed by EM simulation results and lab measurement results for a set of prototypes operating over a range of frequencies relevant to millimeter wave (mmWave) systems. The simulation results based on the calculated array dimensions show good characteristics. The measured gains and radiation patterns agree well with the simulation results. Overall, the usefulness of the design strategy for application to antennas in the mmWave band is confirmed.

The development of new vehicle concepts, amongst others, aims to address current challenges in traffic and environmental protection. The modular vehicle concept U-Shift, which is being developed by the German Aerospace Center (DLR), promises a high operating efficiency through an on-the-road modular design and the associated possibility of distributed energy storage. The U-Shift consists of a driverless drive unit and various application-specific transport capsules. This work addresses a key research question of how the U-Shift's distributed energy storage systems must be designed to accommodate the most extreme case of a 24-hour operation without requiring idle time for grid charging. For this purpose, a simulation model of the U-Shift was developed in Dymola. The battery configuration was optimized regarding to a generic use case. As a result, a minimum energy content of the batteries of the drive unit and each capsule type was computed to enable a theoretical 24-hour operation.

Inductively coupled power transfer (ICPT) systems are sensitive to various system parameters because of theirs high order and non-linearity. To issue this problem, this paper proposes an active disturbance rejection control (ADRC) design strategy. Then the non-dominated sorting genetic algorithm-II (NSGA-II) is adopted to optimize ADRC parameters effectively, which solves the problem in designing the optimal ADRC parameters for high-order ICPT systems and improves robust performance against changing parameters, and limits overshoot within a certain range. The results of the simulation and experiment verify the feasibility and effectiveness of using the NSGA-II to optimize ADRC parameters.

In the context of the impact of global industrialization on the development of rural handicraft products, this paper explores the problems faced by rural handicraft from the perspective of sustainable development and explores the strategies of rural handicraft design. Through the combination of literature research method, field investigation method and Kano model, we visited and participated in the successful empirical cases of rural handicraft products in many places across the country. Through the Kano model opponent process product consumer demand for research, it is concluded that rural handicraft product design must grasp and respect country characteristic culture, based on the local community culture resources, keep open collaborative innovation thinking, coordinating integration of industry and the development way of the environment, so as to realize the sustainable development of the rural handicraft products.

Typically, low-noise structures tend to have a low number of elements; however, the constant search of better performance and improvement in Low-Noise Amplifiers (LNA) has led to much more intricate designs, and therefore to an increment in the number of components. This work suggests another option: returning to basic and efficient topologies and focus on the optimization methodology to solve the problem and achieve better results. Also, unsophisticated structures mean a higher degree of control over the circuit, and, hence, the reduced number of components enables methods unsuitable for more complex LNAs. An inductorless single-ended gm-enhanced common-gate LNA shows the advantages of this design strategy, obtaining competitive performance. The paper includes the analytical expressions of the topology, and all simulations and statistical analyses use complete technology models provided by manufacter.for accurate results.

Cancer is currently one of the deadliest problems in this world and every year the case always increases. There are many methods that can be used for tumor and cancer imaging. There are many requests for new approaches that are reliable, cost-effective, wearable, and convenient for the human body. The technique used is CPW and Microstrip line. For the breast, the flexible 4x4 array antenna microwave is used for human breast tumor detection. The purpose used flexible material is easy to bend and more easily adapted to media or wearable applications. The proposed frequency of antenna is working between 3.1 - 4.8 GHz in single antenna, and 5 - 9 GHz in array position.

As one of the important spaces of railway transportation buildings, the waiting hall of high-speed railway station normally has a large space and a dense flow of people. Spatial characteristics, information dissemination, and crowd activities affect the sound dissemination in the waiting hall. They also have a direct impact on the physical and mental health of passengers during the waiting. In this study, the current situation of the acoustic environment in the waiting hall was analyzed by using on-site acoustic environment measurement and passenger questionnaire survey in Zhengzhou East High-speed Railway Stations (ZEHRS) and Changsha South High-speed Railway Stations (CSHRS). With the consideration of the acoustic environment standards, the acoustic environment control was discussed for space design, environment design, and indoor interface. This study aims to provide a reference for the design of a large-space acoustic environment.

Social media has evolved into a landscape where we can access lot of data. Every action which our consumer does with our app, our website or our social media page, generates huge data imprints and we can make sense of that. To stand out in a highly competitive environment, where attention spans are critically low, consumers have lot of options to scroll through, jump to the next tab, to the next browser, move to the next competitor, how do you leverage this data and bring it in meaningful impact to your business. We will walk through matrix which is important to measure every social media campaign, every social media task we do. Without these metrics it will be needless to say we would be grouping in dark. As a client demands more today, so as a social media strategist, it’s our duty to bring on the table the things which really matter. We will showcase and walk-through to case studies from businesses, brands, small and medium enterprises, freelancers, to see how things are in action. it is easy to design strategy on an excel sheet, on a power point presentation, but seeing things in action, seeing things right on a Facebook feed or on a post or an Instagram feed will give us an idea how could we process our thought process or strategy into action.

Amazon DynamoDB is a next-gen NoSQL (Not only SQL), key-value and document database that delivers single-digit millisecond performance at any scale. As more complex web-based applications adopt DynamoDB, it is imperative to develop sound design strategies for DynamoDB schemas. Large-scale web-based applications often exhibit conflicting requirements. Hence, the research problem is to design the DynamoDB schemas of a given application with conflicting requirements such that the database must satisfy certain predetermined performance goals. In the era of relational databases, normal forms were developed to guide the schema design process. Past knowledge and experiences, we believe, are also applicable to DynamoDB schema design. Specifically, based upon Nested Normal Form and XML databases, this paper demonstrates the feasibility of a design strategy on DynamoDB schemas, particularly with the access patterns of the data in mind. Simulation further substantiates the feasibility of our approach.

In this paper, dual-material gate engineering aspect is proposed as an efficient way to enhance the Gate All Around Junctionless (GAAJL) MOSFET devices immunity against hot-carrier effects (HCEs). Analytical models concerning the device analog/RF performance metrics including the degradation related to HCE are developed, where a good agreement with TCAD-based numerical data is recorded. The impact of the defects induced by HCEs on the device analog performance is thoroughly analyzed. Interestingly, promising design strategy based on combining Multi-Objective Genetic Algorithms (MOGAs) with gate engineering paradigm was adopted for bridging the gap between analog/RF performance and improved reliability against HCEs. Moreover, this systematic study has enabled exciting possibilities to the designer for acquiring a comprehensive review regarding the GAAJL MOSFET design reliability-analog/RF performance tradeoffs. Therefore, the proposed design methodology offers a sound pathway to designing high-performance and reliable transistors strongly desirable for nanoelectronic applications.

This paper proposes a high-gain dual circularly-polarized (CP) antenna with a structure easy to process and a simple design principle. The design strategy is based on the incorporation of a high-gain dual linearly-polarized (LP) antenna with a transmissive linear-to-circular polarization (LP-CP) metasurface converter. A prototype has been developed at 12–13 GHz to give a demonstration of the design strategy, which shows 3-dB axial-ratio bandwidths of more than 12%, peak gains of more than 12.7 dBi and a high polarization isolation of more than 25 dB.

Recently, machine learning has attracted much attention, and has been applied to the design of control systems. In general, the behavior of unstable systems diverges, and the performance of control for unstable systems tends to be strongly affected by model uncertainty. Therefore, unstable systems are difficult targets to be handled by neural networks. In this study, we propose a control design strategy utilizing neural networks for a system that has both stable and unstable equilibrium points. In the strategy, we investigate the possibility of whether an inverse time response around the stable equilibrium point can be used in the learning phase of a neural network, so that the learned network may be expected to perform the behavior around the unstable equilibrium point of the target system. Numerical simulations have demonstrated this idea is available.

Design of a dual-band out-of-phase power divider (PD) exhibiting inherent impedance transformation at arbitrary frequency ratios is presented in this paper. The proposed PD is augmented with an effective design strategy to obtain wide band-ratios and wide impedance ratios, concurrently. The analytical design procedure is obtained using classical even-odd mode approach. The proposed design is validated through a prototype on Rogers RO5880 substrate. An excellent agreement between the EM simulation and measurement results is a testament to the robustness of the proposed design.

The optimal design of thin-film magnetic inductor is important to realize efficient fully Integrated Voltage Regulators (IVR). This work describes the origin of the power losses within inductor while switching at high frequency, and proposes an inductor selection strategy that is able to maximize efficiency for a desired operating condition. The optimization strategy was employed to design an inductor for IVR application which is switching at 50 MHz. To show the effectiveness of the proposed strategy, the thin-film magnetic inductor was fabricated and integrated with CMOS ASIC to realize an 8-phase IVR that yielded a peak efficiency of 85% over a wide load range of 1.5 A.

Overseas design was introduced with the establishment of the opening-up policy, and its earliest practice appeared in architecture, which caused intense attention and discussion in the whole society. In industrial design and many other fields, such as information and intelligent design, the power of overseas design has also spread. However, it did not draw enough attention. Based to the survey, it is found there are four different ways that overseas design groups expand their business in China. More importantly, the overseas design groups have a strong sense of localization and a clear localization strategy. The challenge of foreign design to Chinese local design cannot be ignored anymore and the local design institutions must strive to cope the challenges.

Based on the analysis of traditional handicraft online trading market and the connection between online app products and traditional rural crafts, the consumption status of contemporary handicraft products is designed. If we can improve the local economy through the local propaganda and innovation within a certain period of time, we can become a point spread to the country's rural craftsmen. Through this app platform, simple crafts and modern home furnishing can be combined to protect the development of handicrafts. App is mainly through the combination of rural craftsmen, designers and enthusiasts to protect traditional handicrafts while innovating and developing handicrafts, and finally promote the modernization and improvement of rural handicrafts.

Anhui characteristic village has natural and unique tourism resources, but the design of rural image lacks rational data support, this paper uses the Internet big data extract the key factors affecting the negative emotional evaluation of tourists, and on the basis of a comprehensive understanding of the current situation of scenic spots, through the analysis of the local context, context and other characteristics, expound the motivation of tourism consumption demand, put forward tourism image design strategy, for the development of rural tourism, drive local economic innovation and construction to provide an important decision-making reference.

To analyze the user behavior and the corresponding interface in the process of online course of middle school English learning, and summarize the corresponding interface design problems. At the same time, this paper puts forward the design strategy of online English course interface with the theory of Persuasive Design, which helps users to achieve continuous and efficient learning behavior. Based on the previous research, this paper starts with the prompt of the three elements of persuasion design, and combines the corresponding curriculum interface with the characteristic users, this paper puts forward some strategies to design the interface of English online courses, such as competition, individuation, clarity and feedback.

With the deepening of digital education and information technology, the gradual rise of distance education and Massive Open Online Courses has further promoted the sharing of teaching resources and the fairness of education, However, due to the lack of design strategy guidance, Many online course video interface design is unreasonable, which increases the cognitive load of learners, affects the learning efficiency of learners, and then leads to a high dropout rate. Based on cognitive load theory, this paper analyzes the current situation of online course video interface design in Open Education in our country by using literature analysis and questionnaire survey; Through case study, the design elements of online course video interface are sorted out, and the design elements related to cognitive load are selected from three aspects: intrinsic cognitive load, extrinsic cognitive load and effective cognitive load; In the end, This paper puts forward the design strategy of online course video interface based on cognitive load, and creates the design template of online course video interface, which can be flexibly applied in the design of online course video interface, and proposes solutions to improve the quality of online course from the perspective of design.

Under the background of aging, the research on the adaptation of community space for the elderly has attracted people's attention. This study selects Jiangbin Xincun in Zhenjiang City with serious aging phenomenon as the sample object, takes the needs of the elderly vulnerable groups as the guidance for designing the corresponding questionnaire to collect the subjective evaluation data of the elderly, uses SD method to describe the elderly residents' perception of outdoor space adaptation, and then uses statistical analysis method to conduct quantitative research on the perception data to obtain more accurate and objective evaluation results. According to the final result, it has found that there are three major issues, namely, the shortage of seats and types of sites in activity space, unreasonable traffic road system and the lack of barrier-free facilities. Finally, according to the evaluation results, this study summarizes the shortcomings of the built environment, and puts forward the design strategies for the adaptation of the elderly, such as creating a multi-level and compound type activity space, build a friendly environment suitable for the elderly to walk and optimize the barrier-free environment of public space in residential areas, so as to promote the sustainable development of the old community in the new era.

Under the background of information society, it is a necessary means to protect and inherit Intangible Cultural Heritage to promote the artistic value and economic value of paper engraving art by introducing digital display technology such as virtual reality. This thesis starts with the common features extraction of paper-engraving art in the Han nationality area of China, and puts forward the basic principles of systematization, integrity and extensibility for the design of digital interactive display platform for Intangible Cultural Heritage paper-engraving, and expounds the design strategy of digital interactive display platform from five aspects: user requirement analysis, data classification, two-dimensional and three-dimensional elements reconstruction, platform building and interactive design and user feedback. The Digital Interactive Platform of paper engraving based on virtual reality technology gives the viewer the best immersion and interactive experience, which is helpful to better understand its cultural essence and has very important application value for the inheritance of paper engraving art.

Based on the current classroom lighting standards, specifications and requirements, the classroom light health indicators are sorted out. We investigate the current classroom lighting environment in primary and secondary schools and rectify the design of light environment to improve visual health and comfort. Finally, we propose a design strategy for the health light environment in classroom.

A specific analysis and design strategy of broadband transformer based matching network is presented in this paper. The structure consists of a transformer and two shunt capacitors at both terminals. A design example is given, the simulation shows that from 27GHz to 33GHz, the insertion loss is less than 1.5dB and the ripple is less than 0.15dB.

Objective: Research the packaging design of children’s cold medicine. Methods: A model based on the role separation of Consumers, this paper analyzes the psychology of consumers when they buy children’s cold medicine, and explores the scientific design strategy of Children’s cold medicine packaging with the application of color, character and graphic elements in the outer packaging. Conclusion: Excellent packaging design of children’s cold medicine is of great significance to improve consumer satisfaction and promote enterprise products and brands. Therefore, companies should pay attention to packaging decoration design.

This article proposes a design strategy for energy flow controllers in microgrids with renewable generation within the framework of Economic Model Predictive Control (EMPC). The model used is made up of a storage system and a generation source, considering the possibility of exchanging energy with the main network, thus allowing to the microgrid, through the proposed control strategy, the possibility of acting and participating within the electrical market. The proposed functional for the controller considers costs of use for the microgrid systems, as well the benefit from sale of energy to the main electrical network. The operation of the system is checked by simulating it in different scenarios.

Driving heavy-duty vehicles, such as buses and tractor-trailer vehicles, is a difficult task in comparison to passenger cars. Most research on motion planning for autonomous vehicles has focused on passenger vehicles, and many unique challenges associated with heavy-duty vehicles remain open. However, recent works have started to tackle the particular difficulties related to on-road motion planning for buses and tractor-trailer vehicles using numerical optimization approaches. In this work, we propose a framework to design an optimization objective to be used in motion planners. Based on geometric derivations, the method finds the optimal trade-off between the conflicting objectives of centering different axles of the vehicle in the lane. For the buses, we consider the front and rear axles trade-off, whereas for articulated vehicles, we consider the tractor and trailer rear axles trade-off. Our results show that the proposed design strategy produces planned paths that considerably improve the behavior of heavy-duty vehicles by keeping the whole vehicle body in the center of the lane.

This work presents the theoretical fundamentals of designing charge-pump-based receivers for maximum open-circuit voltage sensitivity (OCVS). From a classical Dickson charge pump with sub-zero-$V_{\mathrm{th}}$ transistors, various models are derived to extract correlation between specific parameters (e.g. number of stages, transistor widths and capacitor sizes) and the output voltage, maximum data rate and input impedance. This approach enabled us to develop an easily applied design strategy for this type of low-power receivers, which we demonstrate here for the 868MHz and 915MHz short-range-devices bands. It also considers an external matching network, our design strategy provides flexibility in layout generation and allows fast designing of receivers. Our strategy focuses on a rapid design flow rather than accurate representation, and is demonstrated using the example of a receiver design. In addition, the limitations of the derivations are discussed, and further optimizations are suggested.

Chemical space is vast and its exploration by hand-picking chemical compounds with desirable features can appear slow and demanding. With the advancement in the field of search based algorithms such exploration can be rationally controlled. Our goal was to construct a genetic algorithm that searches through chemical space of short peptides in intelligent and fast manner. We achieved our goal by adapting the multi-objective NSGA-II algorithm through the implementation of the early stopping criterion and mitigation of possible memory issues by using simulated annealing. The contribution of this paper is the design strategy for multiple peptide libraries that cover greater area of search space in exploration of new active peptides.

Modern System-on-Chip designs (SoCs) are becoming increasingly complex and powerful, catering to a wide range of application domains. Their use in security-critical tasks calls for a holistic approach to SoC design, including security as a first-class architecture constraint, rather than adding security only as an afterthought. The problem is compounded by the inclusion of multiple, potentially untrusted, third party components in the SoC design. To address this challenge systematically, this paper explores four distinct and important aspects of designing secure SoCs. First, starting at the component level, an evaluation framework for assessing component security against physical attacks is proposed. Second, a scalable simulation framework is developed to integrate these secure components which offers flexibility for early- and late-stage SoC development. Third, dynamic and static techniques are proposed to determine when the system is under attack, with a key focus on Hardware Trojans as threat. Finally, a design strategy for integrating untrusted components into a SoC through hardware Root-of-Trust is outlined. For each of these aspects we present early-stage evaluations, and show how these complement each other towards the design of a secure SoC.

This work proposes a new approach to design a simple and effective LNA reaching very competitive results in 1.2V 65-nm standard CMOS technology. The proposed design uses a transconductance enhancement technique to achieve 2.3 dB of noise figure at the 5 GHz band. The paper exposes the advantages of a reduced number of devices in the circuit and analyses the topology. Simulations with complete technology models and statistical analysis are presented for more precise results.

This paper discusses design of on-chip multi-layered inductor. On-chip inductor is an important component for ana-log/RF ICs. In on-chip inductor design, there are many structural parameters and we have to consider not only the inductance value but also the parasitics and the area. Thus, the design strategy is not clear yet. We prepare a large dataset of on-chip inductors by a static field-solver and analyze the dataset by principle component analysis (PCA). PCA shows that the characteristics can be described by two components even in the 4-dimensional space of the resistance, the inductance, the capacitance, and the area. According to the dimension reduction, we can guess the relationship between R, L, C and the area from a few samples.

This paper presents the coupled electromechanical design of a synchronous reluctance machine. The purpose of the study is to decide whether such motor could substitute usual induction machines in railway traction applications. Reluctance machines are indeed competitive for applications requiring high efficiency at low cost. However, it is a challenging task to find design solutions that ensure structural integrity of the motor without compromising its overall performance, in particular in the presence of optimized flux barriers in the rotor. The design strategy presented in this paper is a combined electromagnetic and structural optimization, the latter accounting not only for the centrifugal force but also for the overstress due to manufacturing.

This paper proposes a new design strategy for Synchronous Reluctance machines, with cooperative design in the two environments SyR-e and Motor-CAD. The paper proposes to use the open-source SyR-e for initial, equation based design of the machine. Then, the design is validated and refined in Motor-CAD, in multiple physical domains. This synergy complements both design environments and turns into a comprehensive design package, not yet available in the literature, assembling accessible design equations, magnetic and mechanical FEA and drive operating profiles evaluation to the trademark thermal analysis of Motor-CAD. The cooperative design strategy is described in the paper with reference to the case of a Pure Synchronous Reluctance motor prototype for vehicular traction.

Switched reluctance motor (SRM) is a low-cost, robust motor that is suitable for a wide range of applications. However, SRM has high torque ripple and acoustic noise, which is most apparent in the single-phase configurations. In this paper, the strategy and considerations in designing single-phase SRMs are presented. Permanent magnets (PMs) are included, making the structure hybrid. PMs help to secure the initial rotating position and act as another phase for continuous rotation. Finite element analysis (FEA) is performed to observe the characteristics of the models. Each proposed design is manufactured, and experiments were done to verify the effectiveness in practical application.

The problem of Attention Deficit Disorder is more noticeable in online teaching than in face-to-face teaching. Facing the new requests of constructing Golden Course and based on the analysis of the relationship between Golden Course and Attention Deficit Disorder, the paper takes the national-level MOOC, Data structure, as an example and explores three approaches to solve the problem of Attention Deficit Disorder from the perspective of teaching content organization and implementation. These three approaches are also the core strategies for Golden Course design. The main content is as follows. First, establish the levels of learning objectives under the guidance of BLOOM model, and optimize the design of learning objectives with Mager method, so that students can obtain specific information, find correct learning direction, and avoid lack of attention. Second, use concept map to select and divide learning content, highlighting the importance and relevance of learning content, and ensure that the content is explained within about 10 minutes. Although the time is fragmented, the content is not fragmented. Third, the BOPPPS model is used to organize the process of course implementation and introduce the learning content under the guidance of questions, so as to ensure that the internal logic of the course is compact and effective, and students' interest in learning can be enhanced. Practice shows that the curriculum design strategy which combines the three approaches mentioned above can effectively solve the problem of Attention Deficit Disorder. The course, Data Structure, constructed with three mentioned approaches, was selected as one of the national-level MOOCs in January 2019, which has been running for 4 years on the net for 7 semesters, with a course rating score of 4.8 points out of 5 points, and taken by more than 70,000 learners.

The paper suggests co-design of hardware and software of multicore microprocessing structures (MCMPS) for the cyber-physical systems (CPSs) including Internet of Things (IoT) in a single key and complex, closely interacting tools. The development task is performed by using set-theoretic analysis of all internal algorithms with the goal of open up in a step of the compilation independent of equivalence classes in type of clusters. As a result we solve the task of open up the set of all possible cluster structures defines the analysis of explicit parallelism and for choosing the MCMPS in order to design strategy for implementation in a CPS. The suggested co-design is based on formalization of one of the type models of knowledge - frames for design of expert system on technical parameters. In experimental example is analysis. The authors propose a sample using such methodology for analysis of algorithms for monitoring natural and anthropogenic emergencies or forest-fire monitoring, description of the expert system user interface and intellectual telecommunications structures on the base of the MC 127.05 module, which is a heterogeneous multiprocessor system based on K1879BM8Y chip.

In order to meet the needs of elderly users, this paper analyzes outdoor fitness equipment and finds a way out. By discussing the behavior characteristics of the elderly users, the paper analyzes their needs for the elderly fitness, and establishes the functional modules and structural planning of fitness equipment. Combined with practical cases, this paper makes an in-depth analysis of the design status and existing problems of related outdoor fitness equipment, and discusses the design strategies of outdoor fitness equipment, such as improving social engagement as a guide, interactive experience based on emotional level, and improving the efficacy of human-machine interaction. This article aims to provide a reference for solving the problem of elderly care in an aging society by constructing a design strategy for outdoor fitness equipment, and give suggestions on the direction of future aging design.

This article explores the impact on modern furniture design from the perspective of lifestyle theory, explores new design strategies for furniture design in today's society, and summarizes diversified design paths. It leads to the direction of innovation in the furniture market and points out that the core of current furniture design is creativity based on the current changes in people's actual needs brought about by the current social development. Afterward it explores the specific strategies of furniture design from the aspects of culture, design strategy, realization form, customization, and marketing characteristics, summarizes the development trend of furniture design, tries to find new and more practical and effective design methods, and provides reference theoretical basis for the future development of furniture design.

With the development of the intelligent Internet, personalized learning has begun to develop from offline to online. New technologies such as the knowledge map and machine learning brought by the intelligent Internet have greatly reduced the threshold for online personalized learning, and various online education platforms have also added elements of personalized learning to the services provided. However, most of the existing online personalized learning is limited to the personalization of learning topics, and there is a lack of personalization in terms of learning content, learning style, and learning experience. Therefore, this article uses intelligent Internet as the technical background and user experience as the research objects to build a design that meets the needs of the user's personalized learning experience. Finally, by redesigning the course modules of the Chaoxing Online Teaching Platform and comparing the effectiveness of the two design strategies, the experimental results show that the personalized learning experience design based on the intelligent Internet technology proposed in this paper is conducive to stimulating the curiosity of learning objects.

The "Internet +" platform economy represented by Shared bikes is an "incremental resource" shared economy mode. Shared economy model is characterized by service experience, and product design of shared economy has typical product and service system design characteristics. The products provided only in the mode of "Internet + product rental" lack of comprehensive design of system services. This paper from the perspective of the user experience, through the study of product service system properties Shared economic products, consider the level of user needs the product design, the constraints of the design and user demand level in whole life cycle of product design on the level of social demand, meet with good user experience of product design strategy of the hardware and the modular, recycling and reuse of design idea, can eventually realize the benign, healthy development of sharing economic product design.

Power systems are inclined to frequent failures due to equipment malfunctions in the network. Equipment malfunctions can occur in any of the equipment in the network such as transformers, switchgear, overground cables or underground cables. Any failures in a distribution network directly affect the network stability, availability and reliability. Therefore, quick elimination and prevention of network faults is paramount importance for the DNOs. It is challenging to predict equipment failure accurately for a given period due to the uncertain nature of the fault forecasting process. This study aims to predict the monthly distribution network faults caused by equipment failures with the highest possible accuracy using the three different time-series algorithms. Those three models were implemented in each category of data sets to find the most efficient algorithm based on Mean Absolute Percentage Error as the selected accuracy metrics. Also, to make better business decisions, the DNO community needs to understand the role of the seasonality of the network faults. This study will investigate seasonality using the time-series seasonal decomposition method. Accurate fault prediction at the distribution level and correct understanding of seasonality will help distributed network operators manage and plan network maintenance work. This research also may influence the DNOs in engineering staff management, setting up asset investment priorities and future design strategy