理智设计情感

古语云：＂鱼与熊掌不可兼得。＂一直被看作对立两极的情感和理智,被认为是相互较量的两种人类意识倾向。情感对应感性的,是随性、激情、自由的代言;理智对应理性的,是严肃、内敛、标准的化身。然而．在设计中．情感和理智却承载着不同的价值，闲相互之间的依存而相得益彰。

Research on Multi-modal In-Vehicle Intelligent Personal Assistant Design

Intelligent personal assistants play a pivotal role in in-vehicle systems,significantly enhancing life efficiency,driving safety,and decision-making support.In this study,the multi-modal design elements of intelligent personal assistants within the context of visual,auditory,and somatosensory interactions with drivers were discussed.Their impact on the driver’s psychological state through various modes such as visual imagery,voice interaction,and gesture interaction were explored.The study also introduced innovative designs for in-vehicle intelligent personal assistants,incorporating design principles such as driver-centricity,prioritizing passenger safety,and utilizing timely feedback as a criterion.Additionally,the study employed design methods like driver behavior research and driving situation analysis to enhance the emotional connection between drivers and their vehicles,ultimately improving driver satisfaction and trust.

Design of Automatic Baby Nursing Trolley based on Intelligent Sensing Technology

This paper study and solve the design and manufacture of baby care car, its unique function is the baby carriage can be used as a baby bed, when necessary, it can also become a nursing car, sensor in the vehicle can be real-time detected whether the baby bed wetting and induction time will give parents information feedback; the humidity sensing probe controlled by single chip microcomputer and with the bottle clamp flexible connecting rod, can realize the baby auxiliary nurse; remote wireless commtmication system can allow parents to monitor children＇ s state. The design of intelligent baby carriage, to enhance the technological content of products, promote the innovation of design China bassinet production, has the important practical significance to seize the smart baby car market.

Research of CBR, DM and smart algorithms based design methods for high-rise building structure form-selection

First, the high-rise building structure design process is divided into three relevant steps, that is, scheme generation and creation, performance evaluation, and scheme optimization. Then with the application of relational database, the case database of high-rise structures is constructed, the structure form-selection designing methods such as the smart algorithm based on CBR, DM, FINS, NN and GA is presented, and the original forms system of this method and its general structure are given. CBR and DM are used to generate scheme candidates; FINS and NN to evaluate and optimize the scheme performance; GA to create new structure forms. Finally, the application cases are presented, whose results fit in with the real project. It proves by combining and using the expert intelligence, algorithm intelligence and machine intelligence that this method makes good use of not only the engineering project knowledge and expertise but also much deeper knowledge contained in various engineering cases. In other words, it is because the form selection has a strong background support of vast real cases that its results prove more reliable and more acceptable. So the introduction of this method provides an effective approach to improving the quality, efficiency, automatic and smart level of high-rise structures form selection design.

Design of Library Management System based on Internet of Things

This paper briefly introduces the concept and the development of technology of the Internet of things, systematically elaborated the key technology of RFID, sensors, smart chip and wireless transmission network in process of construction for library management system, and put forward library management system based on the Intemet of things. The paper design architecture scheme for the system in accordance with the reader＇ s habit, management staff and the library functions. The purpose of the article expound the concept of intelligent library, provides the strategy guide for intelligent library development system based on the Interact of things.

Using Multiple Intelligences Approach in Designing Classroom Activities

In 1983, Horward Gardner, a professor of education at Harvard Universiy introduced the theory of Multiple Intelligence. This theory states that people have a unique blend of capabilities and skills （intelligences）. In the classroom context, it implies that students possess different kinds of minds and therefore learn, remember, perform, and understand in different ways. Based on the theory, Gardner challenged the previous practices that gauged intelligence using IQ test which focused more on the ability to use language and/or logic. According to him, the measurement of people＇s intelligence should not be limited to linguistic and logical-mathematical abilities only, but should also cover other abilities. In addition to language and logic, Gardner proposed six other intelligences, which in the past were known as aptitudes or interests, namely： Visual-Spatial Intelligence, Musical Intelligence, Bodily-Kinesthetic Intelligence, Intrapersonal Intelligence, Interpersonal Intelligence, and Naturalist Intelligence. As an English teacher, we often have to deal with the fact that our classes consist of students who posses different intelligences. To help the students reach their maximum learning potential, teacher needs to respect students＇ uniqueness and accommodate the variety of intelligences. This can be done by applying multiple intelligences approach in designing classroom activities.

Artificial intelligence in drug design

Thanks to the fast improvement of the computing power and the rapid development of the computational chemistry and biology,the computer-aided drug design techniques have been successfully applied in almost every stage of the drug discovery and development pipeline to speed up the process of research and reduce the cost and risk related to preclinical and clinical trials.Owing to the development of machine learning theory and the accumulation of pharmacological data, the artificial intelligence(AI) technology, as a powerful data mining tool, has cut a figure in various fields of the drug design, such as virtual screening,activity scoring, quantitative structure-activity relationship(QSAR) analysis, de novo drug design, and in silico evaluation of absorption, distribution, metabolism, excretion and toxicity(ADME/T) properties. Although it is still challenging to provide a physical explanation of the AI-based models, it indeed has been acting as a great power to help manipulating the drug discovery through the versatile frameworks. Recently, due to the strong generalization ability and powerful feature extraction capability,deep learning methods have been employed in predicting the molecular properties as well as generating the desired molecules,which will further promote the application of AI technologies in the field of drug design.

Interface design enabled manufacture of giant metallic glasses

Developing materials with excellent properties has been the untiring pursuit of mankind.Metallic glasses(MGs)would be the ideal metallic materials if their size could be scaled up to be comparable to traditional metals.To address this challenge,a variety of approaches have been attempted over the past decades,including thermodynamicsbased alloy,3D printing and the recent artificial intelligenceguided optimal alloy.In this study,a facile and flexible route was demonstrated to manufacture giant MGs(GMGs)with diameters more than 100 mm through the thermo-joining process.The jointed GMG samples feature almost the same performance as the as-cast ones.The ability of manufacturing complex 3D components such as the Chinese Zodiacs was also demonstrated.Our approach might overcome the longstanding problem of glass forming ability(GFA)limitations in alloy systems and pave new concept and route to fabricate size unlimited MGs.

CONSENSUS DESIGN FOR CONTINUOUS-TIME MULTI-AGENT SYSTEMS WITH COMMUNICATION DELAY

This paper investigates a consensus design problem for continuous-time first-order multiagent systems with uniform constant communication delay.Provided that the agent dynamic is unstable and the diagraph is undirected,sufficient conditions are derived to guarantee consensus.The key technique is the adoption of historical input information in the protocol.Especially,when agent's own historical input information is used in the protocol design,the consensus condition is constructed in terms of agent dynamic,communication delay,and the eigenratio of the network topology.Simulation result is presented to validate the effectiveness of the theoretical result.