The Use of Value Capture for Transport Projects in China: Opportunities and Challenges

Value capture (VC) could be a useful tool to address the huge demand for public transport infrastructure funding in China. This research identifies the opportunities and challenges faced by VC implementation in China and explains how local governments and local transit agencies dealt with the regulatory barriers. The findings of this research offer insights including: (1) macro environment, regulatory framework, and supportive policy environment provide opportunities to adopt VC projects, while the risk of acquiring land vale cannot be isolated from the global political and economic situations; (2) the regulatory challenges of land transactions and lack of property tax system restrict the application of VC; (3) evidence from the case study of Shenzhen demonstrates that local government may creatively deal with the regulatory challenges to do VC and benefit local community; (4) institutional capacity is vital to implement VC. The analysis of Shenzhen experience can provide a reference for other Chinese cities to implement VC.fals

Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing

In cognitive radio networks, the licensed frequency bands of the primary users (PUs) are available to the secondary user (SU) provided that they do not cause significant interference to the PUs. In this study, the authors analysed the normalised throughput of the SU with multiple PUs coexisting under any frequency division multiple access communication protocol. The authors consider a cognitive radio transmission where the frame structure consists of sensing and data transmission slots. In order to achieve the maximum normalised throughput of the SU and control the interference level to the legal PUs, the optimal frame length of the SU is found via simulation. In this context, a new analytical formula has been expressed for the achievable normalised throughput of SU with multiple PUs under prefect and imperfect spectrum sensing scenarios. Moreover, the impact of imperfect sensing, variable frame length of SU and the variable PU traffic loads, on the normalised throughput has been critically investigated. It has been shown that the analytical and simulation results are in perfect agreement. The authors analytical results are much useful to determine how to select the frame duration length subject to the parameters of cognitive radio network, such as network traffic load, achievable sensing accuracy and number of coexisting PUs

Keterampilan Guru Meremedial Siswa dalam Meningkatkan Hasil Pembelajaran Sosiologi

The objective of this research was to know teacher skill to remedy students In improving their learning outcomes in Sociology subject at Class XI IPS SMA Mujahidin Pontianak. The method used is qualitative descriptive. With the data collection techniques used are direct observation, direct communication techniques and documentary techniques, while the data cillection tool used as interview guides and observation guidelines. The results showed that the implementation of remedial learning activities undertaken by teacher has not been done with such skilled in diagnosing students learning difficulties are not in accordance with the theory. Learning outcomes achieved by students has increased the value of which is assisted by a teacher with an effort to increase student motivation as creating the learning process fun and using a variety of learning si that students do not get bored and in the process of learning teachers assess students to compare and retrieve values with the highest value does not exceed KKM

Kapasitas Lentur Balok Beton dengan Bahan Tambah Abu Vulkanik Gunung Gamalama

Beton merupakan bahan konstruksi yang mempunyai peranan yang semakin luas seiring dengan laju pembangunan saat ini. Dalam pelaksanaan beton di lapangan kadang digunakan bahan tambah (admixture) untuk memperbaiki sifat atau kinerjia beton. Bahan tambah dapat berupa bahan kimia, serat dan bahan buangan non kimia yang dicampurkan dengan perbandingan tertentu. Usaha yang dilakukan untuk meningkatkan kinerja dan durabilitas beton melalui penggunaan berbagai jenis bahan tambah seperti fume silica, slag, fly ash ataupun natural pozzolan (volcano ash). Bahan tambah yang digunakan yaitu Abu Vulkanik Gamalam (AVG). Penelitiana ini bertujuan untuk mengetahui pengaruh AVG terhadap kuat lentur beton. Benda uji yang digunakan adala balok berukuran (15x15x60) cm, Mutu beton K-225 dengan variasi penambahan AVG 20% terhadap berat semen. Pengujian kuat lentur dilakukan pada umur beton 28 hari. Hasil penelitian diperoleh bahwa pada beton dengan bahan tambah AVG kuat lentur balok sebesar 38,509 kg/cm², sedangkan untuk beton tanpa campuran Abu Vulkanik Gamalama (AVG) sebesar 29,448 kg/cm² atau terjadi kenaikan kuat lentur sebesar 23,53

Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm

© 2019 by SAGE Publications Ltd.Parametric modelling and optimisation play an important role in choosing the best or optimal cutting conditions and parameters during machining to achieve the desirable results. However, analysis of optimisation of minimum quantity lubrication–assisted milling process has not been addressed in detail. Minimum quantity lubrication method is very effective for cost reduction and promotes green machining. Hence, this article focuses on minimum quantity lubrication–assisted milling machining parameters on AISI 1045 material surface roughness and power consumption. A novel low-cost power measurement system is developed to measure the power consumption. A predictive mathematical model is developed for surface roughness and power consumption. The effects of minimum quantity lubrication and machining parameters are examined to determine the optimum conditions with minimum surface roughness and minimum power consumption. Empirical models are developed to predict surface roughness and power of machine tool effectively and accurately using response surface methodology and multi-objective optimisation genetic algorithm. Comparison of results obtained from response surface methodology and multi-objective optimisation genetic algorithm depict that both measured and predicted values have a close agreement. This model could be helpful to select the best combination of end-milling machining parameters to save power consumption and time, consequently, increasing both productivity and profitability.Peer reviewedFinal Published versio