Aristotle Said “Happiness is a State of Activity” — Predicting Mood Through Body Sensing with Smartwatches

We measure and predict states of Activation and Happiness using a body sensing application connected to smartwatches. Through the sensors of commercially available smartwatches we collect individual mood states and correlate them with body sensing data such as acceleration, heart rate, light level data, and location, through the GPS sensor built into the smartphone connected to the smartwatch. We polled users on the smartwatch for seven weeks four times per day asking for their mood state. We found that both Happiness and Activation are negatively correlated with heart beats and with the levels of light. People tend to be happier when they are moving more intensely and are feeling less activated during weekends. We also found that people with a lower Conscientiousness and Neuroticism and higher Agreeableness tend to be happy more frequently. In addition, more Activation can be predicted by lower Openness to experience and higher Agreeableness and Conscientiousness. Lastly, we find that tracking people’s geographical coordinates might play an important role in predicting Happiness and Activation. The methodology we propose is a first step towards building an automated mood tracking system, to be used for better teamwork and in combination with social network analysis studies.     

EVOKE: A Value-Driven Concept Selection Method for Early System Design

The development of new technologically advanced products requires the contribution from a range of skills and disciplines, which are often difficult to find within a single company or organization. Requirements establishment practices in Systems Engineering (SE), while ensuring coordination of activities and tasks across the supply network, fall short when it comes to facilitate knowledge sharing and negotiation during early system design. Empirical observations show that when system-level requirements are not available or not mature enough, engineers dealing with the development of long lead-time sub-systems tend to target local optima, rather than opening up the design space. This phenomenon causes design teams to generate solutions that do not embody the best possible configuration for the overall system. The aim of this paper is to show how methodologies for value-driven design may address this issue, facilitating early stage design iterations and the resolution of early stage design trade-offs. The paper describes how such methodologies may help gathering and dispatching relevant knowledge about the ‘design intent’ of a system to the cross-functional engineering teams, so to facilitate a more concurrent process for requirement elicitation in SE. The paper also describes EVOKE (Early Value Oriented design exploration with KnowledgE maturity), a concept selection method that allows benchmarking design options at sub-system level on the base of value-related information communicated by the system integrators. The use of EVOKE is exemplified in an industrial case study related to the design of an aero-engine component. EVOKE’s ability to raise awareness on the value contribution of early stage design concepts in the SE process has been further verified with industrial practitioners in ad-hoc design episodes.     

Reconsideration on Homogeneous Quadratic Riemann Boundary Value Problem

The homogeneous quadratic Riemann boundary value problem (1) with Hoelder continuous coefficients for the normal case was considered by the author in 1997. But the solutions obtained there are incomplete. Here its general method of solution is obtained.     

Abrupt climate change：Debate or action

Global abrupt climate changes have been documented by various climate records, including ice cores, ocean sediment cores, lake sediment cores, cave deposits, loess deposits and pollen records. The climate system prefers to be in one of two stable states, i.e. interstadial or stadial conditions, but not in between. The transition between two states has an abrupt character. Abrupt climate changes are, in general, synchronous in the northern hemisphere and tropical regions. The timescale for abrupt climate changes can be as short as a decade. As the impacts may be potentially serious, we need to take actions such as reducing CO2 emissions to the atmosphere.     

The Optimal Solution of the Model with Physical and Human Capital Adjustment Costs

We prove that the model with physical and human capital adjustment costs has optimal solution when the production function is increasing return and the structure of vetor fields of the model changes substantially when the prodution function from decreasing return turns to increasing return. And it is shown that the economy is improved when the coefficients of adjustment costs become small.     

双寡头企业主动开发新产品或拷贝式模仿的博弈分析

主动开发新产品，还是等待其他企业先开发出来新产品然后进行模仿是企业R＆D的一个战略问题。本文在一定时间区间内客户是忠诚的假设下，分别计算主动开发和等待模仿在完全信息动态和不完全信息动态两种情况下双方的利润和利润均衡点，给出企业进行新产品开发或进行拷贝式模仿博弈的量化公式。     

健康住宅建设技术要点分析

通过对健康住宅建设技术要点的分析介绍，阐述了它对我国人居环境、健康的影响，以及它的重要性和对生态环境可持续发展的影响。并结合国内外健康住宅发展状况，提出了我国建设健康住宅应注意采取的技术措施及评价指标。     

论现代企业技术创新的发展趋势

随着当代世界科技的新发展,现代企业技术创新也步入到一个新的阶段.在此阶段,企业、大学、研究机构和科技人员都成为了创新主体,政府主导作用和市场激励作用愈发突出,创新对象也从产品和工艺转向企业知识,内容更加系统、复杂,不同形式的合作创新成为潮流并造就了产业创新的兴起,而民族性、生态性则已成为技术创新重要的效益评判标准.因此,在此阶段,企业技术创新呈现如下七大趋势:主体多元化、动因外部化、对象知识化、内容系统化、模式合作化、规模产业化、效益社会化.     

并行工程产品开发过程的建模方法学

在并行工程中，为了实现产品开发过程的集成、并行和最优化，首先要建立能够充分反映产品开发过程各方面信息的产品开发过程模型。通过对模型的仿真分析和优化，指导产品开发过程的实施。本文首先提出了并行工程产品开发过程模型是集成多视图模型，随后提出了采用集成多视图建模理论的并行工程产品开发过程建模、分析和管理的方法学框架     

知识经济的可持续发展刍议

知识经济被视为实现可持续发展的必由之路，但它本身也有个可持续发展的问题。知识经济本质上是人的经济，它淡化了经济发展对天然资源的依赖关系，强化了对人自己创造的知识资源的依赖性，使得科技和教育的发展成为实现其可持续发展的关键；同时，处理和运用知识的手段和能力是知识转化为资源的重要环节，高科技产业的发展也因之成为其必要的条件；知识经济又是商品化经济，知识产权的保护等措施是保证知识生产和再生产顺利进行的环境支持。