If you choose a music, you really choose a life. If you choose rock and roll, your youth will be destined to be different! Qin Fengge's dream was to become a world-renowned rock star ...
When Qin Yue loved him so much that he lost his dignity, Mo Lingcheng never even looked at her! When she saw through everything and decided to live for herself, Mo Lingcheng suddenly became entangled with her ... "Isn't the rose blood on the tip of your heart Zhou Yutong?! I just want to divorce you! Divorce! " Mo Lingcheng shamelessly kept pestering him, "I only have your shadow in my heart, how can I let go of another person in so many places? Stop messing around, don't let your son watch the show.
Xie E, a A Peerless Genius born in a family of tomb robbers, died in an air disaster and entered the Underworld's reincarnation cycle Dao. He was reincarnated as a "quasi eunuch" in the Northern Song Dynasty's last palace.
To the Storm by Yue Daiyun and Carolyn Wakeman is the fascinating story of Yue Daiyun, a faculty member at Beijing University. Yue Daiyun was a revolutionary from her early school days. She had been a child during the anti-Japanese war and hated the Guomundang. Accepted as a student at Beida in 1948, she joined the Communist Party's underground Democratic youth League and became a Party member the following year and helped with the Liberation of Beijing. While a student at Beida, she served as a delegate at the Prague 2nd World Student Congress in 1950 and worked in the countryside on land reform in 1951-52. Then she graduated from Beida and became a faculty member in the literature department. She married her husband, Lao Tang, the day after their graduation. He obtained a faculty position in the philosophy department. Both were loyal to Chairman Mao and the goals of the Revolution. Their lives went smoothly for several years until 1958. Yue Daiyun taught Chinese literature and took part in many activities on campus. She read many Western books and supported the formation of a new literary magazine on campus. This eventually brought her into conflict with the authorities and the beginning of two decades of problems and persecution for her and her family. The Party had encouraged openness and criticism of its mistakes and deficiencies in the system. Yue Daiyun had taken part in the discussions, believing that she was helping to build a better China. Summoned to a meeting at her department one day, she was denounced as a rightist. She did not understand what she did wrong, but she was quickly relieved of her teaching duties and sent to the countryside to work and live with the peasants for two years. This was the first of her suspensions from teaching. Both Yue Daiyun and her husband, Lao Tang, were caught up in the persecution and violence of the Cultural Revolution. They had spent two years at a cadre school in Liyouhoz and when they returned to Beijing, Lao Tang was selected to work on a special task force called Liang Xaio. This brought Lao Tang and the group into close association with Jiang Qing and the Gang of Four. When the Gang of Four was arrested, Lao Tang suffered through a year long investigation before being cleared. Throughout this time their family suffered from the persecution of others. In the end, the authorities admitted that they were wrong in their case against her and reinstated her Party membership. In this interesting autobiography, Yue Daiyun tells her story of the life she and her family lived during these somewhat violent and terror-filled years in China.
She did not have an illustrious family background, nor did she have an impeccable appearance. However, she climbed step by step up to the position of concubine. She had given birth to six children for Emperor Kang Xi, and had once pampered the harem! She had had the simplest of loves, had experienced the most complicated plans of a palace, had wanted to see through the walls of the palace cold and lonely, and had also shocked the imperial harem. She was the only one!
The Ghost Immortal moved, and the world went dark!Passing through another world, Miss Good-for-nothing transformed into a Toxicodendron.His unique cultivation pierced through the heavens and earth.His hands were full of wondrous poisons,The world shunned her like a snake or a scorpion.Wherever Gui Xianer went, he flew on his flying palanquin,Wen Feng was scared of her creed.If people don't offend me, then I won't offend them.If anyone offends me, I will pay them back a hundred times.Fighting down the Aunt Di, knocking down the older sister and cleansing the grievances of his mother.Miss Meng who hadn't grown up yet had turned into a demonic Little Demoness.It attracted countless heroes to bow in front of it!
Tian Xiaomeng, the only daughter of Fang Zhongtian in the village, crossed over to the other side of the mountain to gather herbs for her father. When he saw Tian Xiaomeng, he realized what kind of a woman she was. He was like a female bandit when he was crazy, and a female general when he was bold and knowledgeable. If he was smart, he might not even be comparable to the top scholar of the imperial court. There was only one downside to such a woman. Nothing but money. I heard that the Tian Clan only has two requests for a son-in-law. One is to grow a farm, and the other is to earn money. Su Yuzhan loaded a pile of silver notes into a pile and picked up a hoe. He was going to recommend himself to join the family.
The authors investigate the phenomenon of highly skilled Chinese returnees and their impact on the development of the Chinese economy and society, and on the transformation of China into a key player on the global stage. They analyse the reasons why Chinese entrepreneurs choose to return to their native country and how their overseas experience shapes their attitude and behaviours. This study is solidly grounded on fresh data from online and offline surveys and on evidence collected in over 200 interviews of successful returnees entrepreneurs. These global Chinese returnees have contributed to the rise of Chinese economy into a global powerhouse and this continuing brain movement and circulation will have much more future implications and impact for China's exchange with outside world.
Ben was a promising brain surgeon,She was loyal and conservative, and regarded integrity as life.But God played a big joke on her,She had actually been transported to the bed of a prince.[Previous Chapter] [Table of Contents] [Next Chapter]"Heh heh ..."Only then did she realize that she was a wangfei who was despised and despised by the prince.He was also being treated by his own sister.Fortunately, fortunately, the women of the new era,Especially a female doctor who made a living with a knife, it wasn't that easy to deal with.'Let's see how she will put up a show in the palace!
This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles. Subsequently, the authors present a complete framework for data-driven compressive spectrum sensing in cognitive radio networks, which guarantees robustness, low-complexity, and security. Particularly, robust compressive spectrum sensing, low-complexity compressive spectrum sensing, and secure compressive sensing based malicious user detection are proposed to address the various issues in wideband cognitive radio networks. Correspondingly, the real-world signals and data collected by experiments carried out during TV white space pilot trial enables data-driven compressive spectrum sensing. The collected data are analysed and used to verify our designs and provide significant insights on the potential of applying compressive sensing to wideband spectrum sensing. This SpringerBrief provides readers a clear picture on how to exploit the compressive sensing to process wireless signals in wideband cognitive radio networks. Students, professors, researchers, scientists, practitioners, and engineers working in the fields of compressive sensing in wireless communications will find this SpringerBrief very useful as a short reference or study guide book. Industry managers, and government research agency employees also working in the fields of compressive sensing in wireless communications will find this SpringerBrief useful as well.
This brief presents a comprehensive review of the network architecture and communication technologies of the smart grid communication network (SGCN). It then studies the strengths, weaknesses and applications of two promising wireless mesh routing protocols that could be used to implement the SGCN. Packet transmission reliability, latency and robustness of these two protocols are evaluated and compared by simulations in various practical SGCN scenarios. Finally, technical challenges and open research opportunities of the SGCN are addressed. Wireless Communications Networks for Smart Grid provides communication network architects and engineers with valuable proven suggestions to successfully implement the SGCN. Advanced-level students studying computer science or electrical engineering will also find the content helpful.
Content-based 3-D object retrieval has attracted extensive attention recently and has applications in a variety of fields, such as, computer-aided design, tele-medicine,mobile multimedia, virtual reality, and entertainment. The development of efficient and effective content-based 3-D object retrieval techniques has enabled the use of fast 3-D reconstruction and model design. Recent technical progress, such as the development of camera technologies, has made it possible to capture the views of 3-D objects. As a result, view-based 3-D object retrieval has become an essential but challenging research topic. View-based 3-D Object Retrieval introduces and discusses the fundamental challenges in view-based 3-D object retrieval, proposes a collection of selected state-of-the-art methods for accomplishing this task developed by the authors, and summarizes recent achievements in view-based 3-D object retrieval. Part I presents an Introduction to View-based 3-D Object Retrieval, Part II discusses View Extraction, Selection, and Representation, Part III provides a deep dive into View-Based 3-D Object Comparison, and Part IV looks at future research and developments including Big Data application and geographical location-based applications. - Systematically introduces view-based 3-D object retrieval, including problem definitions and settings, methodologies, and benchmark testing beds - Discusses several key challenges in view-based 3-D object retrieval, and introduces the state-of-the-art solutions - Presents the progression from general image retrieval techniques to view-based 3-D object retrieval - Introduces future research efforts in the areas of Big Data, feature extraction, and geographical location-based applications
Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. - Discusses state-of-the-art procedures in learning-based local visual representation. - Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system - Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.
Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.
The Intelligent Systems Series comprises titles that present state-of-the-art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Flexible manipulators play a critical role in applications in a diverse range of fields, such as construction automation, environmental applications, and space engineering. Due to the complexity of the link deformation and dynamics, the research effort on accurate modeling and high performance control of flexible manipulators has increased dramatically in recent years. This book presents analysis, data and insights that will of particular use for researchers and engineers working on the optimization and control of robotic manipulators and automation systems. - Government and industry groups have specifically stressed the importance of innovation in robotics, manufacturing automation, and control systems for maintaining innovation and high-value-added manufacturing - Discusses the latest research on the quantitative effects of size, shape, mass distribution, tip load, on the dynamics and operational performance of flexible manipulators - Presents unique analyses critical to the effective modeling and optimization of manipulators: hard to find data unavailable elsewhere
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