Analisa Lanskap Jalur Hijau Dan Upaya Penerapan Smart Green Land Pada Ruang Terbuka Hijau

Jalur hijau merupakan daerah hijau sekitar lingkungan permukiman atau sekitar kota, bertujuan mengendalikan pertumbuhan pembangunan, mencegah dua kota atau lebih menyatu, dan mempertahankan daerah hijau, rekreasi, ataupun daerah resapan hu-jan.Smart Green Land merupakan inovasi konsep RTH yang berfungsisebagai paru-paru kota dan sebagai tempat yang nyaman melalui penyediaan fasilitas penunjang se-hingga tercipta Kenyamanan dan kesegaran. Penelitian ini bertujuan mengetahui, mempe-lajaripermasalahan dan kendala dalam lanskap jalur hijau, menganalisis permasalahan, mengembangkan potensi dan menyusun rekomendasi rencana dan penerapan smart green land yang berkelanjutan. Penelitian dilaksanakan pada jalur hijau jalan Ijen, jalur hijau jalan Jakarta dan jalur hijau Dieng, dan penerapan smart green land pada Alun-alun Kota dan Alun-alun Tugu Kota Malang. Penelitian ini menggunakan tiga tahap yaitu inventarisasi, analisis data, dan interprestasi data. Hasil penelitian menunjukkan jalur hijau Jalan Dieng, Jalan Jakarta dan Jalan Ijen le-bih tertuju pada penambahan jenis vegetasi tanaman perdu, semak berbunga indah, lam-pu penerangan jalan dan tempat duduk. Smart Green Land pada Alun-alun Kota Malang dan Alun-alun Tugu lebih tertuju pa-da penambahan jenis vegetasi tanaman ber-bunga dan tanaman rumput

An Adaptive Lossless Data Compression Scheme for Wireless Sensor Networks

Energy is an important consideration in the design and deployment of wireless sensor networks (WSNs) since sensor nodes are typically powered by batteries with limited capacity. Since the communication unit on a wireless sensor node is the major power consumer, data compression is one of possible techniques that can help reduce the amount of data exchanged between wireless sensor nodes resulting in power saving. However, wireless sensor networks possess significant limitations in communication, processing, storage, bandwidth, and power. Thus, any data compression scheme proposed for WSNs must be lightweight. In this paper, we present an adaptive lossless data compression (ALDC) algorithm for wireless sensor networks. Our proposed ALDC scheme performs compression losslessly using multiple code options. Adaptive compression schemes allow compression to dynamically adjust to a changing source. The data sequence to be compressed is partitioned into blocks, and the optimal compression scheme is applied for each block. Using various real-world sensor datasets we demonstrate the merits of our proposed compression algorithm in comparison with other recently proposed lossless compression algorithms for WSNs

Reliable In-Plane Velocity Measurements With Magnetic Resonance Velocity Imaging

Magnetic resonance (MR) imaging is a well-known diagnostic imaging modality. In addition to its high-quality imaging capabilities, hydrogen-based MR can also provide non-invasively the velocity of water-based fluids in all three spatial directions (through-plane and in-plane) in an image. Many previous studies showed that MR velocity imaging can accurately measure the through-plane velocity. The aim of this study was to evaluate how reliable are the in-plane velocity measurements in an image. The axial velocity of water in horizontal tubes (inner diameter: 14.7–26.2 mm) was measured with segmented (fast) and non-segmented (slow) k-space MR velocity imaging using: (a) an imaging slice placed perpendicular to the tube axis with through-plane velocity-encoding; and (b) an imaging slice placed parallel to the tube axis with in-plane velocity-encoding. The two planes intersected along the vertical tube-centerline. The flow rate was accurately quantified (mean error plane velocity profiles were not significantly different from the through-plane profiles (mean difference =6%, correlation coefficients \u3e0.98). There was no significant difference between the velocity profiles from the segmented and the non-segmented sequences (mean difference 0.95). The results of this study suggest that fast MR velocity imaging can measure the in-plane velocity in an image with reliability

PENERAPAN STATISTICAL QUALITY CONTROL (SQC) PADA PENGENDALIAN MUTU MINYAK TELON (STUDI KASUS DI PT.X)

Telon oil is one of  the traditional medicine in the form of  liquid preparations that serves to provide a sense of warmth to the wearer. PT.X is one of the companies that produce telon oil. To maintain the quality of telon oil from PT.X product, required overall quality control that is starting from the quality control of raw materials, quality control process to the quality control of the final product. The purpose of this research is to know the application of Statistical Quality Control (SQC) in controlling the quality of telon oil in PT X. Final product quality become one of the measurement of success of a process, so it needs a good quality control. SQC method used in this research is Pareto Diagram and Cause and Effect Diagram. Pareto diagram is a bar graph that show the problem based on the order of the number of occurrences of the most number of problems until the least happened. A causal diagram is often called a fishbone diagram, a tool for identifying potential causes of an effect or problem. The result of applying the method indicates that 80% defect is caused by unsuitable volume and on the incompatibility of Expired Date (ED) code. The damage is caused by several factors namely the method, labor, and machine while the most potential factor is the volume conformity to reduce the number of defect products.</p

Model fitting of zero-inflated and overdispersed count data

Researchers often encounter data which exhibit an excess number of zeroes than would be expected in a Poisson or negative binominal model. This is referred to as zero-inflation. Additionally, data may display excess variability or overdispersion. Failure to model zero-inflation and overdispersion may lead to serious underestimation of standard errors and misleading regression parameter estimates. Poisson, negative binomial, zero-inflated Poison (ZIP) and zero-inflated negative binomial (ZINB) regression models are applied to CBMS Pasay City Poverty Census of 2005. Barangays are ranked according to estimated proportion of households below food poverty line. Overdispersion parameters indicate that the data is overdispersed and hence, a negative binomial model is preferred over Poisson model. However, zero-inflation parameters pose no significant evidence that the data is zero-inflated. Accordingly, goodness of fit statistics for the over-al best fit model show that the negative binomial regression model is the most preferred

Correlation of human papillomavirus infection and clinical parameters with five-year survival in oral squamous cell carcinoma.

OBJECTIVE: This study associated Human Papillomavirus (HPV) infection and other clinical parameters with five-year survival of oral squamous cell carcinoma patients at a tertiary care hospital in Karachi, Pakistan. METHODS: A total of 140 patients diagnosed with oral squamous cell carcinoma were enlisted. HPV status and subtypes were established through polymerase chain reaction performed in a previously published study. Clinical data including five-year survival were obtained through institutional medical records. RESULTS: Ninety-five patients (67.9 per cent) were positive for HPV. Of these, 85 patients were HPV 16 positive while 2 patients were HPV 18 positive. The mean survival time for HPV positive patients was 44.3 months, whereas survival time for HPV negative patients was 46.9 months. Univariate analysis showed that HPV status in oral squamous cell carcinoma was not a statistically significant factor in determining five-year survival rate (p = 0.386). CONCLUSION: There is a high prevalence of HPV positive oral squamous cell carcinoma in Pakistan; however, there is no difference in the five-year survival rate when compared to HPV negative oral squamous cell carcinoma

Reliable In-Plane Velocity Measurements With Magnetic Resonance Velocity Imaging

Magnetic resonance (MR) imaging is a well-known diagnostic imaging modality. In addition to its high-quality imaging capabilities, hydrogen-based MR can also provide non-invasively the velocity of water-based fluids in all three spatial directions (through-plane and in-plane) in an image. Many previous studies showed that MR velocity imaging can accurately measure the through-plane velocity. The aim of this study was to evaluate how reliable are the in-plane velocity measurements in an image. The axial velocity of water in horizontal tubes (inner diameter: 14.7–26.2 mm) was measured with segmented (fast) and non-segmented (slow) k-space MR velocity imaging using: (a) an imaging slice placed perpendicular to the tube axis with through-plane velocity-encoding; and (b) an imaging slice placed parallel to the tube axis with in-plane velocity-encoding. The two planes intersected along the vertical tube-centerline. The flow rate was accurately quantified (mean error plane velocity profiles were not significantly different from the through-plane profiles (mean difference =6%, correlation coefficients \u3e0.98). There was no significant difference between the velocity profiles from the segmented and the non-segmented sequences (mean difference 0.95). The results of this study suggest that fast MR velocity imaging can measure the in-plane velocity in an image with reliability