Performance comparison of automatic peak detection for signal analyser

The aim of this paper is to propose a new peak detection method for a portable device, which know as modified automatic threshold peak detection (M-ATPD). M-ATPD evolves out of ATPD with a focus on reducing computational time. The proposed method replaces the clustering threshold calculation in ATPD with a standard deviation threshold calculation. M-ATPD reduces computational time by 2 times faster compared to ATPD for control signal and 8.65 times faster compared to ATPD for raw biosignals. Modified ATPD also shows a slight improvement in terms of detection error, with a decrease of about 6.66% to 13.33% in peak detection of noise signals. Modified ATPD successfully fixes the error of peak detection on pulse control signals associated with ATPD.  For raw biosignals, in total M-ATPD achieved 19.41% lower detection error compare to ATPD

Performance analysis of low-complexity welch power spectral density for automatic frequency analyser

The aim of this paper is to investigate the performance of the Low Complexity Welch Power Spectral Density Computation (PSDC). This algorithm is an improvement from Welch PSDC method to reduce the computational complexity of the method. The effect of the sampling rate and the input frequency toward to accuracy of frequency detection is being evaluated. From the experiment results, sampling rate nearest to the twice of the input frequency provides the highest accuracy which achieved 99%. The ability of the algorithm to perform complex signal also has been investigated

PPGIS mapping of landscape values and development preferences in the greater Kuala Lumpur

Unplanned and poorly managed urbanisation can give rise to pollution, inequity, impacts on ecosystem services and reduced liveability. The objective of this study is to identify, map and compare residents' landscape values and development preferences using Public Participatory GIS to provide place-specific recommendations for urban planning in Kuala Lumpur. The study compares a range of landscape values and development preferences to assess conflict and compatibility. Landscape values represent valued landscape typologies such as aesthetic and spiritual locations, while development preferences represent participants’ preference on whether a location should be developed or conserved. A conceptual model of compatibility and conflict is used to consider the relationship between development preferences and landscape values in two dimensions. Conflict emerges in areas where there is disagreement between landscape values and development preference such in areas recognized for its biodiversity and identified for development. Using a web-based PPGIS social survey, 249 respondents were surveyed across Greater Kuala Lumpur. Our mapping found most of the locations identified were in Kuala Lumpur, Petaling Jaya, Shah Alam, Klang and Kajang. Landscape values which support conservation were generally found in areas with compatible development preferences. The results suggest the participants identified locations for pro-environmental development which were compatible with landscape values, mainly in the forested areas surrounding Kuala Lumpur city; but there were also areas of conflict, mainly inside Kuala Lumpur city regarding pro-development preferences and landscape values. The results of this study potentially provide a pathway forward for supporting urban development that is sustainable and also accounts for community interests

Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks

In this paper, based on fuzzy neural networks, we develop an adaptive sliding mode controller for chaos suppression and tracking control in a chaotic permanent magnet synchronous motor (PMSM) drive system. The proposed controller consists of two parts. The first is an adaptive sliding mode controller which employs a fuzzy neural network to estimate the unknown nonlinear models for constructing the sliding mode controller. The second is a compensational controller which adaptively compensates estimation errors. For stability analysis, the Lyapunov synthesis approach is used to ensure the stability of controlled systems. Finally, simulation results are provided to verify the validity and superiority of the proposed method

The design of quasi-sliding mode control for a permanent magnet synchronous motor with unmatched uncertainties

AbstractIn this study, the concept of a quasi-sliding mode control (QSMC) is introduced for the robust control of a permanent magnet synchronous motor (PMSM) system subjected to unmatched uncertainties, and even with input nonlinearity. On the basis of the new concept of QSMC, continuous control is obtained, to avoid the chattering phenomenon. As expected, the system state can be stabilized and driven into a predictable neighborhood of zero. Also, this approach only uses a single controller to achieve chaos control, which reduces the cost and complexity of implementation. The results of numerical simulations demonstrate the validity of the proposed QSMC design method

3D-CT implanted interstitial brachytherapy for T2b nasopharyngeal carcinoma

<p>Abstract</p> <p>Background</p> <p>To compare the results of external beam radiotherapy in combination with 3D- computed tomography (CT)-implanted interstitial high dose rate brachytherapy (ERT/3D-HDR-BT) versus conventional external beam radiotherapy (ERT) for the treatment of stage T2b nasopharyngeal carcinoma (NPC).</p> <p>Methods</p> <p>Forty NPC patients diagnosed with stage T2b NPC were treated with ERT/3D-HDR-BT under local anesthesia. These patients received a mean dose of 60 Gy, followed by 12-20 Gy administered by 3D-HDR-BT. Another 101 patients diagnosed with non-metastatic T2b NPC received a mean dose of 68 Gy by ERT alone during the same period.</p> <p>Results</p> <p>Patients treated with ERT/3D-HDR-BT versus ERT alone exhibited an improvement in their 5-y local failure-free survival rate (97.5% vs. 80.2%, <it>P </it>= 0.012) and disease-free survival rate (92.5% vs. 73.3%, <it>P </it>= 0.014). Using multivariate analysis, administration of 3D-HDR-BT was found to be favorable for local control (<it>P </it>= 0.046) and was statistically significant for disease-free survival (<it>P </it>= 0.021). The incidence rate of acute and chronic complications between the two groups was also compared.</p> <p>Conclusions</p> <p>It is possible that the treatment modality enhances local control due to improved conformal dose distributions and the escalated radiation dose applied.</p

Direct observation of drifting juvenile seahorse Hippocampus trimaculatus Leach, 1814 beneath the offshore surface at Malacca Strait

Three drifting juvenile seahorses (100.3 mm, 89.5 mm, and 55.8 mm in height) were captured during 2 research surveys between shipping routes at Malacca Strait. All seahorse specimens were identified using morphometric data as Hippocampus trimaculatus Leach, 1814. This is the first direct observation of drifting H. trimaculatus seahorse near to the water surface, out of their reported water depth (10–100 m) and demersal habitats. This may provide evidence of translocation and long-distance dispersal of H. trimaculatus in the region

Distributed Sliding-Mode Formation Controller Design for Multirobot Dynamic Systems

This paper presents a distributed formation control for multirobot dynamic systems with external disturbances and system uncertainties. First from the Lagrangian analysis, the dynamic model of a wheeled mobile robot can be derived. Then, the robust distributed formation controller is proposed based on sliding-mode control, consensus algorithm, and graph theory. In this study, the robust stability of the closed-loop system is guaranteed by the Lyapunov stability theorem. From the simulation results, the proposed approach provides better formation responses compared to consensus algorithm

Clinacanthus nutans Extracts Are Antioxidant with Antiproliferative Effect on Cultured Human Cancer Cell Lines

Clinacanthus nutans Lindau leaves (CN) have been used in traditionalmedicine but the therapeutic potential has not been explored for cancer prevention and treatment. Current study aimed to evaluate the antioxidant and antiproliferative effects of CN, extracted in chloroform, methanol, and water, on cancer cell lines. Antioxidant properties of CN were evaluated using DPPH, galvinoxyl, nitric oxide, and hydrogen peroxide based radical scavenging assays, whereas the tumoricidal effect was tested on HepG2, IMR32, NCL-H23, SNU-1, Hela, LS-174T, K562, Raji, and IMR32 cancer cells using MTT assay. Our data showed that CN in chloroform extract was a good antioxidant against DPPH and galvinoxyl radicals, but less effective in negating nitric oxide and hydrogen peroxide radicals. Chloroformextract exerted the highest antiproliferative effect on K-562 (91.28±0.03%) andRaji cell lines (88.97± 1.07%) at 10