bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS KINERJA CHILLER DI GEDUNG SENAYAN CITY
Authors: Maya Firanti Putri  , Aris Sunawar  , Massus Subekti  
Published: March 2021

Abstract.
Research conducted in the building Senayan City in June 2016 using qualitative research methods. Standards are used as a benchmark the performance of each chiller uses ISO 6390 in 2011 on Energy Conservation Air system administration Building. These aspects are analyzed to determine the performance of the chiller is the temperature of chilled water, flow chilled water and compressor power. As for the influence of the three aspects is the temperature of the outside environment. By calculating the cooling capacity, the highest Coefficient of Permonace (COP) value can be determined each chiller.Chiller performance analysis results obtained COP value of the highest attainable number 1 at 7.31 chiller, chiller number 2 at 8.03 and chiller number 3 6:27. These values ​​meet the mi nimum value of COP according to ISO standards. Lowest chiller COP value number 1 by 5.08, number 2 for 5.12 chiller and chiller number 3 at 4.22. Third party chiller COP minimum value does not meet the minimum standards of the COP. Chiller number 3 has the lowest minimum number COP and far below the minimum stadar.Judging from the value of cooling capacity and COP, chiller performance is not good enough is the number 3. And the chiller that has good enough performance is number 1 and 2
Abstrak
Penelitian ini bertujuan untuk menghasilkan data analisis kinerja chiller di gedung Senayan City. Penelitian yang dilakukan di gedung Senayan City pada bulan Juni 2016 ini menggunakan metode penelitian kualitatif. Standar yang digunakan sebagai patokan kinerja masing-masing chiller menggunakan SNI 6390 tahun 2011 tentang Konservasi Energi Sistem Tata Udara Bangunan Gedung. Aspek-aspek yang dianalisis untuk mengetahui kinerja chiller adalah temperatur chilled water, flow chilled water dan power kompresor. Adapun yang mempengaruhi ketiga aspek tersebut adalah temperatur lingkungan luar. Dengan menghitung kapasitas pendinginan, dapat ditentukan nilai Coefficient of Permonace (COP) tertinggi masing-masing chiller. Hasil analisis kinerja chiller didapat Nilai COP tertinggi yang dapat dicapai chiller nomor 1 sebesar 7,31, chiller nomor 2 sebesar 8,03 dan chiller nomor 3 6.27. Ketiga nilai tersebut memenuhi nilai minimum standar COP menurut SNI. Nilai COP terendah chiller nomor 1 sebesar 5,08, chiller nomor 2 sebesar 5,12 dan chiller nomor 3 sebesar 4,22. Ketiga nilai minimum COP ketiga chiller ini tidak memenuhi standar minimum COP. Chiller nomor 3 mempunyai angka minimum COP paling rendah dan jauh dibawah stadar minimum. Dilihat dari kapasitas pendinginan dan nilai COP, chiller yang kinerja kurang baik adalah chiller nomor 3. Dan chiller yang performanya cukup baik adalah chiller nomor 1 dan 2.
PEMBUATAN VIDEO PEMBELAJARAN PROSEDUR PEMELIHARAAN PERALATAN TATA UDARA RUANG TINGGAL (ROOM AIR CONDITIONER/ RAC)
Authors: Imam Arif Raharjo  , Sri Sujanti  , Bambang DK  
Published: March 2021

Making Video Learning of Maintenance Procedure for Air Conditioning Equipment (Room Air Conditioner / RAC). This innovative work aims to make a learning video about the procedure for maintaining air space equipment (RAC) which can later be used as one of the variations in teacher
learning media in the learning process. Making this innovative work uses a strategy and manufacturing procedure with three stages, namely planning, recording, and production. Responses
were made by respondents consisting of a Media Expert and Vocational High School students using opinion instruments. The conclusion of the making of this innovative work is that a learning video is produced about the procedures for maintaining air-conditioning equipment (Room Air Conditioner
/ RAC).
Abstrak
Pembuatan Video Pembelajaran Prosedur Pemeliharaan Peralatan Tata Udara Ruang Tinggal (Room
Air Conditioner/ RAC). Karya Inovatif ini bertujuan untuk membuat video pembelajaran tentang prosedur pemeliharaan peralatan tata udara ruang tinggal (Room Air Conditioner/ RAC) yang
nantinya dapat digunakan sebagai salah satu variasi media pembelajaran guru dalam proses
pembelajaran. Pembuatan karya inovatif ini menggunakan strategi dan prosedur pembuatan dengan tiga tahapan yaitu perencanaan, perekaman, dan produksi. Tanggapan dilakukan oleh responden yang
terdiri dari seorang Ahli Media dan siswa Sekolah Menengah Kejuruan dengan menggunakan
instrument opini. Kesimpulan dari pembuatan karya inovatif ini adalah dihasilkan sebuah video pembelajaran tentang prosedur pemeliharaan peralatan tata udara ruang tinggal (Room Air Conditioner/ RAC) .
PENGEMBANGAN MODUL ELEKTRONIK BERBASIS LECTORA INSPIRE PADA MATA PELAJARAN INSTALASI MOTOR LISTRIK
Authors: Hervina Kiruna  , Massus Subekti  , Purwanto Gendroyono  
Published: March 2021

The aims of this study are to : (1) find the necessity of electronic module, (2) find the process of the development module, (3) find the expediency, and (4) find the effectiveness of the electronic module based on Lectora Inspire on the subject Electric Motor Installation. The research method used is Research and Development method, while the product development model uses the ADDIE (Analysis,Design, Development, Implementation, and Evaluation). This study uses questionnaire and questions test as the technique of collection data. The results of the study find that : (1) the analysis of the necessity of electronic module shows that as many 100% of the students have not used the electronic module yet, (2) the process of developing the learning as module is done in fivemain stages, which are Analysis,Design, Development, Implementation, and Evaluation, (3) feasibility testing is obtained on average 3,5 with the criteria “Very feasible” and concludes that the electronic module based on Lectora Inspire on teh subject Electric Motor Installation is feasible for learning., and (4) the effectiveness test is done by comparing the posttest grade of the experimental class with the posttest grade of the control class has the result of Tcount = 5,74 with the conlusion that the effectiveness of the use of Electronic Module based Lectora Inspire is higher or equal to the students that do not use the module in improving the learning outcomes of Electronic Motor Installation.
Abstrak
Penelitian ini bertujuan untuk: (1) mengetahui kebutuhan modul elektronik (2) mengetahui proses pengembangan modul, (3) mengetahui kelayakan dan (4) mengetahui keefektifan modul elektronik berbasis Lectora Inspire pada mata pelajaran Instalasi Motor Listrik. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan (Research & Development) sedangkan model pengembangan produk yang digunakan adalah model ADDIE (Analysis,Design,Development,Implementation, dan Evaluation). Teknik pengumpulan data pada penelitian ini menggunakan angket dan soal tes. Hasil penelitian menunjukan bahwa: (1) analisis kebutuhan mengatakan sebanyak 100% siswa belum menggunakan modul elektronik (2) proses pengembangan modul pembelajaran dilakukan dalam lima tahapan utama yaitu Analysis,Design,Development,Implementation, dan Evaluation; (3) pengujian kelayakan didapatkan rata-rata 3,5 dengan kriteria “sangat layak” dan modul elektronik berbasis Lectora Inspire pada mata pelajaran Instalasi Motor Listrik layak digunakan untuk proses pembelajaran; dan (4) pengujian keefektifan dilakukan dengan membandingkan nilai posttest kelas eksperimen dengan nilai posttest kelas kontrol didapatkan hasil nilai
Pressure-Difference Method for Gas-Kick Detection in Risers
Authors: Zhou Guangzhao , Leach Colin , Denduluri Veerabhadra S. , Wong George K. , Amritkar Amit , Krishnamoorti Ramanan , Prosperetti Andrea 
Published: March 2021

Summary
Undetected gas kicks are at the root of many disastrous accidents in the oil industry. A major factor in these tragic outcomes is the suddenness with which oil and gas can be ejected from the top of the riser, which gives operators virtually no time for an adequate response. This aspect of the phenomenon is quantified by providing a physical explanation of its origin and suggesting simple, if approximate, guidelines to estimate its severity. Then a relatively straightforward and potentially practical way to detect the presence of dangerous gas volumes in a riser is described. The basic idea is to measure the pressure difference between sensors spaced along the riser. When gas occupies the space between sensors, the pressure difference undergoes large changes chiefly caused by the decreased hydrostatic head. It is shown that this difference can be enhanced by adequate signal processing and is robust in the presence of noise. The suggested detection method is supported by a set of laboratory experiments.
SMGSAF: A Secure Multi-Geocasting based Routing Scheme for Opportunistic Networks
Authors: Singh Jagdeep , Dhurandher Sanjay K. , Kumar Raghav , Gupta Geetanshu 
Published: March 2021

Abstract
This paper proposes a novel Secure Multi- Geocasting Spray And Flood technique for opportunistic networks called SMGSAF, which uses secret sharing and disjoint path routing to secure the privacy of messages. In multi-geocasting, routing aims to successfully deliver a given geomessage to all the nodes, or to as many as possible, located inside defined geographic areas within a given time interval. It is desired that as long as a message is outside its destination casts it cannot be read by intermediate nodes. Encryption is a proven way to ensure this but classical encryption techniques are not well suited for the opportunistic paradigm. Key distribution and scarcity of resources are the major challenges in this regard. Therefore we have used secret sharing and disjoint path routing to protect the privacy of messages. Simulation results show that the proposed SMGSAF protocol provides the intended security but at the expense of performance, that is within acceptable limits. Notably, the SMGSAF protocol outperforms unitary geocasting in terms of delivery probability. The proposed protocol is evaluated in terms of delivery probability, network overhead, and latency. Its performance has been compared to MGSAF and GSAF.
Analysis of electromagnetic absorption in new design of PIFA antenna using metamaterials
Authors: Hamadi Hamza Ben , ghnimi said , Latrach Lassaad , Benech Philippe , Gharsallah Ali 
Published: March 2021

Abstract
This paper presents the design, simulation and fabrication of a miniaturized wearable dual-band antenna on a semi-flex substrate; she is operable at 2.45/5.8 GHz for wireless local area network applications. The electrical and radiation characteristics of this proposed antenna were obtained by means of a technical of insertion of a slot to tune the operating frequencies. To study the impact of the electromagnetic radiation of the structure of the human body, it is necessary to minimize the back radiation towards the user. Therefore, in this work, a multi-band artificial magnetic conductor (AMC) was placed directly above a dual-band planar inverted F antenna to achieve a miniaturization with excellent radiation performance. The simulation results were designed and simulated using Studio commercial software (CST). A good agreement was achieved between the results of simulation and the experimental. The Comparison of measurement results indicates that the gain improved from 1,84 dB to 3,8 dB, in the lower band, and from 2,4 dB to 4,1 in the upper band, when the antenna is backed by the AMC plane. The front-to-back ratio of the AMC backed PIFA antenna was also enhanced. Then, to ensure that the proposed AMC is harmless to the human body, this prototype was placed on three-layer human tissue cubic model. It was observed that the through inclusion of plane AMC, the peak specific absorption rate (SAR) decreased to 1,45 and 1,1 W/kg at 2,45 and 5.8 GHz, respectively (a reduction of around 3,7 W/kg, compared with an antenna without (AMC).
An adaptive q-Lognormal model towards the computation of Average Channel Capacity in slow fading channels
Authors: Mukherjee Tanmay , Senapati Dilip 
Published: March 2021

Abstract
The characterization of multipath fading and shadowing in wireless communication systems is essential towards the evaluation of various performance measures. It is well known that the statistical characterization of shadowing phenomena is captured by distributions viz., log-normal distribution, gamma distribution and other mixture distributions. However, it is observed that the log-normal distribution fails to characterize the outliers in the fading signal. The extreme fluctuations in the fading signal needs to be characterized efficiently for error free computation of the various performance metrics. In this context, this paper portrays an adaptive generalized Tsallis’ non-extensive q-Lognormal model towards the characterization of various fading channels. This model operates well with the synthesized fading signals and captures the wide range of tail fluctuations to adapt different fading scenarios. The significance and applicability of the proposed novel q- Lognormal model in capturing the slow fading channels is validated using different statistical tests viz., chi-square test and symmetric JS measure. Furthermore, essential performance measures viz., the average channel capacity, closed form expression of cumulative distribution function (CDF) in terms of Gauss-Hypergeometric function 2 F 1 [a ; b ; c; z], higher order moments corresponding to q-Lognormal channel capacity and coefficient of variation is evaluated corresponding to the proposed q-Lognormal model performing extensive Monte-Carlo simulation techniques up to O (10^7).
Multilevel Redundant Discrete Wavelet Transform (ML-RDWT) and optimal Red Deer algorithm (ORDA) centred approach to mitigate the effect of ICI, BER and CIR in a MIMO-OFDM System
Authors: Nagarajan K , Sophia S 
Published: March 2021

Abstract
Nowadays, there is a great demand for ultra-high data rate (UHDR) transmission on most 5th generation wireless networks. In this concern, the multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) scheme is used on a large scale to achieve UHDR transmission with reduced inter-symbol interference (ISI) and inter-carrier interference (ICI). Discrete wavelet transform-based OFDM (DWT-OFDM) provides better orthogonality due to presence of orthogonal wavelets, which mitigates the effects caused by ISI and ICI. Also, it has extended bandwidth than the traditional OFDM systems. But a major drawback in this system is that it suffers from down sampling. The down-sampling effect reduces the actual size of the input bit streams. As a result, the system performance is degraded. For solving this problem, a multilevel redundant discrete wavelet transform (ML-RDWT) is used instead of DWT to achieve improved spectral performance. Here, complex down-sampling operation is eliminated. From the simulation outcomes, it is clearly viewed that effects caused by ICI, ISI and BER are mitigated by improving the performance of CIR. The proposed method employs optimal red deer algorithm (ORDA) to locate the optimized weights for the ICI cancellation system. This algorithm enhances the spectral efficiency by achieving high CIR with reduced BER, ISI and ICI. The BER in the proposed MIMO-ML-RDWT-OFDM-ORDA method is 68%, 76%, 38% and 75%, which is very low when compared to the BER in the existing techniques like MIMO-DWT-OFDM-RDA, MIMO-RNS-OFDM-PNMA, MIMO-OFDM-BMA and MIMO-OFDM-ICIMA. The ISI in the proposed method is 94%, 91%, 95% low when compared to the ISI in the existing techniques. The ICI in the proposed work is 71%, 57%, 73% and 86% low when compared to the ICI in the existing techniques. Therefore, the general performance of the proposed MIMO-ML-RDWT-OFDM-ORDA method is improved in an efficient way with less complexity, error rate and processing delay.
First detection of SARS-CoV-2 proteins in wastewater samples by mass spectrometry
Authors: Lara-Jacobo Linda , Islam Golam , Desaulniers Jean-Paul , Kirkwood Andrea , Simmons Denina 
Published: March 2021

Abstract
On March 12, 2020, the World Health Organization (WHO) declared COVID-19 as a global pandemic. COVID-19 is produced by a novel β-coronavirus known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) [1]. Several studies have detected SARS-CoV-2 RNA in urine, feces, and other biofluids from both symptomatic and asymptomatic people with COVID-19 [2], suggesting that SARS-CoV-2 RNA could be detected in human wastewater [3]. Thus, wastewater-based epidemiology (WBE) is now used as an approach to monitor COVID-19 prevalence in many different places around the world [4-10] . Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is the most common SARS-CoV-2 detection method in WBE, but there are other methods for viral biomolecule detection that could work as well. The aim of this study was to evaluate the presence of SARS-CoV-2 proteins in untreated wastewater (WW) influents collected from six wastewater treatment plants (WWTPs), from Durham Region, Ontario, Canada, using a LC-MS/MS-based proteomics approach. We identified many SARS-CoV-2 proteins in these wastewater samples, with peptides from pp1ab being the most consistently detected and with consistent abundance.
Age, Period and Cohort Analysis of Young Adult Mortality due to HIV and TB in South Africa: 1997-2015
Authors: Nkwenika Tshifhiwa , Manda Samuel 
Published: March 2021

Abstract
Background: Young adult mortality is very significant in South Africa due to the influence of HIV/AIDS, Tuberculosis (TB), Injuries and Non-Communicable Diseases (NCDs). Previous analyses have mainly focused on assessing the time effect of age and period separately. However, health outcomes often depend on three-time scales, namely age, period, and cohort, which are linearly interlinked. Using Age-Period-Cohort (APC) models, this study estimated the time effects of age, period, and cohort on HIV and TB mortality among young adults in South Africa. Methods: HIV and TB mortality data and mid population estimates were obtained from Statistics South Africa for the period 1997 to 2015. Mortality data are based on deaths reported to the Department of Home Affairs where the underlying cause of death was HIV or TB based on the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) definition. Observed HIV/AIDS deaths were adjusted for under-reporting, misclassification, and systematic proportion from ill-defined natural deaths. Three-year age, period, and birth cohort intervals for 15-64 years, 1997-2015 and 1934-2000 respectively were used. The Age-Period-Cohort (APC) analysis using the Poisson distribution was used to compute the effects of age, period, and cohort on mortality due to TB and HIV. Results: A total of 5, 825,502 adult deaths were recorded from the period 1997 to 2015 of which, 910,731 (15.6%) and 252,101 (4.3%) were attributed to TB and HIV, respectively. For both observed mortality rate and estimated relative effects, concave down associations were found between TB, HIV mortality rates and period, age with peaks, at 36-38 and 30-32 years, respectively. A downward trend and inverted V-shape between TB and HIV mortality by birth cohort was found, respectively. Conclusions: The study found an inverse U-shaped association between TB-related mortality and age, period, and general downward trend with a birth cohort for deaths reported between 1997 and 2015. A concave down relationship between HIV-related mortality and age, period, and inverted V-shaped with birth cohort was found. Our findings have shed more light on HIV and TB mortality rates across different age groups, the effect of changes in the overall TB and HIV management and care on the mortality rates, and whether the mortality rates depend on the year an individual was born.
Maternal Psychological Distress, Education, Household Income, and Congenital Heart Defects: A Prospective Cohort Study from The Japan Environment and Children’s Study Running Title Maternal Psychological Distress and Congenital Heart Defects
Authors: Saijo Yasuaki , Yoshioka Eiji , Sato Yukihiro , Azuma Hiroshi , Tanahashi Yusuke , Ito Yoshiya , Kobayashi Sumitaka , Minatoya Machiko , Bamai Yu Ait , Yamazaki Keiko , Itoh Sachiko , Miyashita Chihiro , Araki Atsuko , Kishi Reiko 
Published: March 2021

Abstract
Background: The influence of maternal psychological distress on infant congenital heart defects (CHDs) has not been thoroughly investigated. Furthermore, there have been no reports on the combined effect of maternal psychological distress and socioeconomic status on infant CHDs. This study aimed to examine whether maternal psychological distress, socioeconomic status, and their combinations were associated with CHD.Methods: We conducted a prospective cohort study using data from the Japan Environment and Children’s Study, which recruited pregnant women between 2011 and 2014. Maternal psychological distress was evaluated using the Kessler Psychological Distress Scale in the first trimester, while maternal education and household income were evaluated in the second and third trimesters. The outcome of infant CHD was determined using the medical records at 1 month of age and/or at birth. Crude and adjusted logistic regression analyses were performed to evaluate the association between maternal psychological distress and education and household income on infant CHD.Results: A total of 93,643 pairs of mothers and infants were analyzed, with 1.1% of infants having CHDs. Maternal psychological distress had a significantly higher odds ratio in the crude analysis but not in the adjusted analysis, while maternal education and household income were statistically insignificant. In the analysis of the combination variable of lowest education and psychological distress, the trend for p was statistically significant in the crude and adjusted analyses.Conclusions: The combination of maternal psychological distress and lower education may be a possible indicator of infant CHD.
Multi-Step ahead Predictive Model for Blood Glucose Concentrations of Type-1 Diabetic Patients
Authors: Zaidi Syed Mohammed Arshad , Chandola Varun , Ibrahim Muhanned , Romanski Bianca , Mastrandrea Lucy D. , Singh Tarunraj 
Published: March 2021

Abstract
Continuous monitoring of blood glucose (BG) levels is a key aspect of diabetes management. Patients with Type-1 diabetes (T1D) require an effective tool to monitor these levels in order to make appropriate decisions regarding insulin administrationand food intake to keep BG levels in target range. Effectively and accurately predicting future BG levels at multi-time stepsahead benefits a patient with diabetes by helping them decrease the risks of extremes in BG including hypo- and hyperglycemia.In this study, we present a novel multi-component deep learning model BG-Predict that predicts the BG levels in a multi-steplook ahead fashion. The model is evaluated both quantitatively and qualitatively on actual blood glucose data for 97 patients.For the prediction horizon (PH) of 30 minutes, the average values for root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), andnormalized mean squared error (NRMSE) are 20.82±4.97 mg/dL, 15.04±3.70 mg/dL, 11.63±2.78 and 0.06±0.01 respectively. When Clarke and Parkes error grid analyses were performedcomparing predicted BG with actual BG, the results showed average percentage of points in Zone A of 83.88±6.84 and 87.44±4.97, respectively. We offer this tool as a mechanism to enhance the predictive capabilities of algorithms for patients with T1D.