bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the geoecological state of small water currents in polder lands: methodological approach and cartographic support
Authors: Zotov Sergey , Spirin Yuri
Published: November 2022

The watercourses of the Kaliningrad region are one of the most important natural components with a multi-purpose use. Unfortunately, their geoecological state is assessed as unsatisfactory due to the negative impact exerted on them. The region includes unique polder lands, the watercourses of which are highly vulnerable to negative natural and anthropogenic impacts. These watercourses are poorly researched, in the post-Soviet period they were not actually explored, which led to a lack of information in various scientific and practice-oriented areas. All of the above emphasizes the importance of conducting geoecological studies of the watercourses of the polder lands. The aim of the research is to assess the geoecological state of the basins of small watercourses in the polder lands of the Slavsky District with further cartographic visualization of its spatial differentiation. A methodical approach has been developed to obtain a geoecological indicator represented by a quantitative indicator of polluting chemicals in water, leveling the information deficit, by conjugated analysis of available, but very limited hydrological, hydrochemical and geoecological data. Formulas and calculated dependencies are obtained that allow one to find quantitative characteristics of pollution in the rivers of other polder regions, taking into account the designated limits of application. The spatial differentiation of the geo-ecological state of the basins of small watercourses in the Slavsky District was identified and mapped by 13 criteria, divided into interrelated groups: anthropogenic load, water quality, the territory’s ability to self-purify, transit capacity. The geoecological state of the researched watercourses and their watersheds is characterized as “highly stressed”: for the river. Osa—“very tense” (3.95 % of the land); for r. Zlaya—“tense” (5.93 % of land); in the basins of the Shlyuzovaya and Nemoninka rivers—“conflict” (38.96 % of land), the rest of the area—“highly stressed” (51.16 % of land).
School atlas mapping for education for sustainable development: topic “Global water resources”
Authors: Nokelaynen Tatiana
Published: November 2022

The goal of Education for Sustainable Development (ESD) is to help students develop knowledge, skills and values that will enable them to make local and global decisions to improve the quality of life without posing an environmental threat to the future of the planet.

At present, there is an abundance of public statistical information related to sustainable development. Many digital platforms and open-source software offer tools to create your own maps and diagrams. However, in order to use it for educational purposes, it is necessary to provide at least basic training on statistical data systematization and visualization for high school students. In addition, it is important to develop manuals and guidelines to help students identify the most suitable data for their tasks.

The inclusion of new plots and topics in the content of the traditional educational geographic atlas is an optimal and one of the most promising approaches to integrating the ideas of sustainable development into school education.

The main result of the conducted research—is the inclusion in the content of the school atlas “Economic and Social Geography of the World. Natural resources. Population. Economics” of new cartographic plots on the topic of conservation of the global water resources. The following World maps have been developed—“Water resources availability” (1:160,000,000); “Water scarcity” (1:250,000,000); “Surface water resources” (1:160,000,000); “Pollution of the hydrosphere” (1:160,000,000); “Global marine mineral and energy resources” (1:160,000,000); “Global marine biological resources” (1:160,000,000).

School atlas maps, created from the standpoint of sustainable development, help to develop understanding of global issues in students and to build their motivation for finding new solutions.
TANGGUNG JAWAB HUKUM PERAWAT TERHADAP HAK-HAK KLIEN DALAM UPAYA PELAYANAN ASUHAN KEPERAWATAN DI RUMAH SAKIT
Authors: Primadita Adhe
Published: November 2022

Perawat melakukan kelalaian dan kesalahan yang merugikan klien, karena perawat tidak memahami hak-hak klien. Hak untuk mendapatkan informasi, hak klien untuk mendapatkan pelayanan keperawatan sesuai stardar praktik keperawatan, kode etik, standar prosedur operasional dan standar profesi. Permasalahan yang diajukan: (1) Bagaimana tanggung jawab hukum perawat terhadap hak-hak klien dalam upaya pelayanan asuhan keperawatan di rumah sakit? (2)Bagaimana kendala dan solusi dalam tanggung jawab hukum perawat terhadap hak-hak klien di Rumah Sakit Dokter Kariadi Semarang?(3)Bagaimana akibat hukum apabila tidak terpenuhi tanggung jawab hukum perawat terhadap hak-hak klien di rumah sakit? Metode pendekatan yang digunakan dalam penelitian ini adalah yuridis normative empiris, spesifikasi penelitian bersifat deskriptif analitis. Data yang digunakan dalam penelitian ini adalah data sekunder dan data primer. Data sekunder studi kepustakaan, sedangkan yang didalamnya data primer melalui penelitian lapangan. Hasil penelitian menujunkan, masih terjadi kelalaian perawat antara lain tidak melaksanakan Standar Prosedur Operasional sehingga mengakibatkan komplikasi penyakit,kurang disiplinnya perawat dalam pelaksanaan Asuhan keperawatan sehingga kerahasiaan data klien tidak terjaga, menganggap kondisi kesehatan pasien adalah hal yang sepele. Rekomendasi sanksi yang diberikan
KEKUATAN PEMBUKTIAN DOKUMEN ELEKTRONIK DIBANDINGKAN AKTA NOTARIS
Authors: Tedjosaputro Liliana
Published: November 2022

Globalisasi dengan timbulnya Revolusi Industri 4.0 dan 5.0 (Society 5.0) menyebabkan batas-batas antara negara-negara di dunia seakan-akan tidak ada batas lagi. Permasalahan, Bagaimana kekuatan pembuktian dokumen elektronik dibandingkan akta Notaris ? Penggunaan dokumen elektronik yang merupakan alat bukti hukum yang sah tidak berlaku untuk surat yang menurut Undang-Undang dalam bentuk tertulis dan surat yang dibuat dalam bentuk akta Notaris. Metode penelitian yuridis normatif menggunakan data sekunder sebagai data utama dan data primer sebagai data pendukung. Kekuatan pembuktian dokumen elektronik setara dengan akta di bawah tangan sedangkan akta Notaris bentuknya ditentukan oleh Undang-Undang
PERLINDUNGAN HUKUM TERHADAP PEMEGANG HAK PATEN AKIBAT DIHAPUSNYA KEPEMILIKAN HAK PATEN DARI DAFTAR UMUM PATEN
Authors: Zuami Mutia Denti Armala , Tresnawati Bakti
Published: November 2022

2016 Tentang Paten pasal 134 ayat 2 yang menyatakan :Menteri wajib memberitahukan kepada pemegang paten dalam jangka waktu 30 hari sebelum Paten dimaksud dinyatakan hapus berdasarkan alasan sebagaimana ayat(1), Pasal 135 ayat (1) dan (2) dalam hal paten dihapus sebagaimana pasal 130, menteri memberitahukan secara tertulis dalam bentuk elektronik atau non elektronik kepada pemegang paten. Pasal 2 paten yang dinyatakan dihapus dicatat dan diumumkan. Permasalahan yang akan dibahas apakah pemegang hak paten tanpa suatu sebab bisa dihapus dari daftar umum paten? dan bagaimana perlindungan hukum terhadap pemegang hak paten? Metode pendekatan yaitu yuridis normatif. Spesifikasi penelitian bersifat deskriptif analitis, sumber data adalah data sekunder, metode pengumpulan data dengan studi pustaka,Analisa data dengan analisa kualitatif. Hasil penelitian dan pembahasan sebagai berikut: 1.Pemegang Hak Paten tanpa suatu sebab tidak bisa di hapus dari daftar umum paten karena berdasarkan Pasal 130 Undang-Undang Nomor 13 Tahun 2016 terdapat 4 penyebab paten dihapuskan sebagian atau seluruhnya.tetapi dalam kenyataanya ada kasus paten yang dihapus secara tiba-tiba dari daftar umum paten 2.Perlindungan hukum terhadap pemegang hak paten berdasarkan UU No 13 Tahun 2016 pasal 134 ayat 2 dan Pasal 135 ayat (1) dan (2) dimana .paten tidak bisa langsung dihapus tanpa pemberitahuan secara tertulis disertai dengan alasan Seperti Contoh kasus PT.Starmas Inti Aluminium Industri dia dikabulkan permohonannya untuk menghidupkan kembali sertifikat paten.
PENYALAHGUNAAN KLAUSULA EKSONERASI YANG MERUGIKAN KONSUMEN
Authors: Hidayat Muhammad Syahid
Published: November 2022

Tulisan ini bertujuan untuk menganalisa perjanjian serta klausul baku dalam perparkiran. Hal ini muncul karena terjadinya kehilangan dan/atau kerusakan kendaraan maupun kehilangan barang yang ada di dalam kendaraan. Kemudian penelitian ini menjabarkan pengertian parkir dengan metode terlebih dahulu dengan menetapkan perjanjian parkir sebagai perjanjain penitipan berdasarkan karakteristiknya atau sebagai sewa tempat. Kemudian menguraikan hal tersebut sebagai hak dan kewajiban masing-masing pihak dalam perjanjian perparkiran berdasarkan KUH Perdata. Dalam tulisan ini juga membahas mengenai adanya pelanggaran dalam dasar hukum yang dijadikan perlindungan bagi pengelola parkir khususnya di DKI Jakarta yaitu Perda Nomor 5 Tahun 1999 tentang Perparkiran. Perda tersebut dijadikan tameng oleh pelaku usaha agar terhindar daritanggungjawabnya. Klausula tersebut merugikan konsumen, karena jika mengacu pada Undang-undang Nomor 8 Tahun 1999 tentang Perlindungan Konsumen, maka seharusnya keamanan dan kenyamanan merupakan salah satu unsur yang harus dipenuhi oleh pelaku usaha. Oleh karena itu, dalam tulisan ini penulis menjabarkan beberapa permasalahan: Pertama pertimbangan hukum dari hakim dalam menentukan kekuatan mengikat klausula eksonerasi yang dibuat dalam bentuk baku, dalam perjanjian parkir dan kedua keputusan hakim dalam mengabulkan gugatan konsumen yang terlibat dalam klausula eksonerasi yang dibuat dalam bentuk baku dalam perjanjian parkir. Penelitian ini menggunakan kajian hukum normatif, sedangkan pengumpulan data dilakukan melalui penelitian kepustakaan (library research). Penulis berkesimpulan bahwa pelaku usaha belum menjalankan tanggung jawabnya
PERLINDUNGAN HUKUM ANAK JALANAN ATAS EKSPLOITASI DALAM PERSPEKTIF HUKUM PIDANA
Authors: Wahyudiyanto Farauq
Published: November 2022

Pasal 34 ayat 1 Undang-Undang Dasar 1945 bahwa “Fakir miskin dan anak-anak terlantar dipelihara oleh negara. Metode penelitian menggunakan hukum normatif, spesifikasi penelitian deskritif analistis, sumber data utama dan sumber data tambahan, metode pengumpulan data primer dan sumber data sekunder, metode penyajian data bersifat deskriptif analistik, metode analisis data teknik analisis bahan hukum menggunakan content analysis. Hasil penelitan menunjukan bahwa Faktor penyebab munculnya anak jalanan di daerah Kendal adalah faktor ekonomi, pengangguran, pendapatan orang tua rendah. Upaya Dinas Sosial Kabupaten Kendal dalam penanganan anak jalanan secara formal dan non formal di daerah Kendal adalah Upaya Preventif, Upaya Represif, Upaya Rehalititasi. Perlindungan hukum anak jalanan yang melakukan tindak pidana yang dilakukan anak jalanan di daerah Kendal, penanganan dilakukan melalui rumah singgah. Untuk memberikan alternatif selain rumah singgah, bentuk peluang yang lain menggunakan sanksi pidana dengan sebagai alternatif terakhir. anak jalanan yang melakukan pengemisan di jalan dapat ditangkap. Kemudian ditampung untuk kemudian diberikan semacam tindakan (maatregel) dengan putusan hakim dimasukkan kedalam sebuah lembaga pemasyarakatan khusus atau panti rehabilitasi.
KEBIJAKAN PEMERINTAH TERHADAP KEBERADAAN BANK DARAH RUMAH SAKIT DALAM UPAYA MEWUJUDKAN KESEHATAN MELALUI TRANSFUSI DARAH
Authors: Rahardjo Neysa Natalia
Published: November 2022

Masih banyak Rumah Sakit yang belum memiliki Bank Darah Rumah Sakit (BDRS) sebagai upaya kesehatan transfusi darah serta terdapat Rumah Sakit yang telah memiliki BDRS tetapi belum sesuai dengan standar peraturan yang berlaku. Permasalahan yang dikemukakan adalah sebagai berikut : Bagaimana pelaksanaan kebijakan pemerintah terhadap keberadaan Bank Darah Rumah Sakit dalam upaya mewujudkan kesehatan melalui transfusi darah? Bagaimana hambatan-hambatan dan solusinya pada pelaksanaan kebijakan pemerintah terhadap keberadaan Bank Darah Rumah Sakit dalam upaya kesehatan transfusi darah? Metoda yang di gunakan dalam penelitian ini adalah yuridis normatif. Spesifikasi yang digunakan bersifat deskriptif analitis. Sumber data yang di pergunakan data sekunder sebagai data utama dan data primer sebagai data pendukung. Metode pengumpulan data dengan studi pustaka dan wawancara. Metode analisis data yang digunakan adalah normatif kualitatif. Dari hasil penelitian dan pembahasan tentang kebijakan pemerintah terhadap keberadaan Bank Darah Rumah Sakit dalam upaya mewujudkan kesehatan melalui transfusi darah belum sepenuhnya dilaksanakan regulasi terkait. Hambatan dan solusi yang di hadapi dalam pelaksanaan kebijakan pemerintah terhadap keberadaan bank darah rumah sakit dalam upaya kesehatan transfusi darah yaitu jumlah RS yang menyediakan BDRS masih kurang, belum dapat terpenuhinya petugas terlatih untuk transfusi darah , ketrampilan petugas yang kurang, koordinasi antara Dinas Kesehatan, PMI, serta RS untuk pengadaan, pembinaan, serta pengawasan terhadap BDRS karena ketidaktahuan akan peraturan perundangan yang ada dari pihak Dinas Kesehatan serta RS tersebut, kebijakan yang kontradiktif, pembinaan terhadap keberadaan BDRS dan pelayanan darah belum memadai, Pengetahuan dan kesadaran hukum tenaga kesehatan yang masih rendah. Untuk mengatasi kendala-kendala tersebut, perlu terus mensosialisasikan peraturan perundangan yang berlaku kepada petugas Dinas Kesehatan, PMI RS dan petugas medis pada RS yang belum dan telah memiliki BDRS agar terdapat kesadaran untuk melaksanakan pelayanan darah, adanya pengawasan, serta pembinaan yang memadai.
TANGGUNG JAWAB HUKUM PELAKU USAHA FARMASI TERHADAP IZIN EDAR OBAT
Authors: Nugroho Leonardo Cahyo
Published: November 2022

Setiap peredaran obat, bahan obat, obat tradisional, dan kosmetika di Indonesia wajib memperoleh izin edar sebelum obat tersebut dapat didistribusikan. Namun kenyataannya masih banyak obat beredar tanpa izin edar. Oleh karena itu, penelitian ini berjudul Tanggung Jawab Hukum Pelaku Usaha Farmasi Terhadap Izin Edar Obat Dalam Upaya Penyembuhan Penyakit. Perumusan Masalah: Bagaimana tanggung jawab hukum pelaku usaha farmasi terhadap izin edar obat dalam upaya penyembuhan penyakit? Bagaimana hambatan-hambatan dan solusinya tanggung jawab hukum pelaku usaha farmasi terhadap izin edar obat dalam upaya penyembuhan penyakit di Kabupaten Semarang? Tujuan Penelitian : Untuk mengetahui dan menganalisis tanggung jawab hukum pelaku usaha farmasi terhadap izin edar obat dalam upaya penyembuhan penyakit. Untuk mengetahui dan menganalisis hambatan-hambatan dan solusinya tanggung jawab hukum pelaku usaha farmasi terhadap izin edar obat dalam upaya penyembuhan penyakit di Kabupaten Semarang. Metode : Pendekatan penelitian ini adalah yuridis normatif, spesifikasi penelitiannya deskriptif  analitis, Analisis datanya kualitatif. Hasil : Masih terdapat hambatan dalam pelaksanaan tanggung jawab hukum pelaku usaha farmasi terhadap izin edar obat. Kurangnya pengawasan dan evaluasi dari pemerintah, kemasan obat tanpa izin edar mirip dengan obat berizin edar resmi, harga obat tanpa izin edar lebih murah, kurang pembinaan kepada masyarakat dan pelaku usaha farmasi, penegakan hukum tidak menimbulkan efek jera. Perlu pengawasan dan evaluasi oleh BPOM, pengawasan terhadap penggunaan kemasan yang mirip dengan sistem cek KIK, pembinaan terhadap masyarakat dan pelaku usaha farmasi dijalankan secara berkala, sanksi dapat dipertimbangkan untuk memberikan efek jera. Rekomendasi : pembuatan Peraturan Pemerintah mengenai perluasan kewenangan BPOM dalam hal pengawasan obat, sosialisasi dan penyuluhan mengenai izin edar obat dari pemerintah kepada masyarakat dan pelaku usaha farmasi lewat media dan pertemuan rutin.
ALASAN-ALASAN SUATU TINDAK PIDANA DAPAT MASUK KATAGORI KEJAHATAN INTERNASIONAL
Authors: Tentua Evert Maximiliaan
Published: November 2022

Alasan suatu tindak pidana dapat dikatagorikan sebagai kejahatan internasional seperti kejahatan perang (war crime), kejahatan terhadap perdamaian (crime against peace), kejahatan terhadap kemanusiaan (crime against humanity), kejahatan pembasmian etnis tertentu berdasarkan perbedaan ras dan agama (genocide),  perompak/bajak laut (rover),  pembajakan udara (hijacking),  perbudakan (slavery),narkotika (narcotic), terorisme (terrorism) dan kejahatan telematika (cybercrime) karena menyangkut pelanggaran terhadap perdamaian, kemanusiaan dan perekomian dunia.

 
EDUKASI DIET KARBOHIDRAT DALAM PENCEGAHAN KARIES GIGI SELAMA MASA PANDEMI COVID19 PADA MURID SD ISLAM TELADAN AL HIDAYAH
Authors: Nurilawaty Vitri , Purnama Tedi , Erwin Erwin
Published: November 2022

Sejak terjadi pandemi Covid-19 membuat siswa bersekolah dan belajar dari rumah. Kondisi ini membuat siswa menjadi lebih sering menghabiskan banyak waktu dirumah, sehingga membuat siswa menjadi sering makan terutama mengonsumsi cemilan manis. Perubahan pola makan terutama makanan yang manis dapat menyebabkan anak menjadi rentan untuk terjadi karies gigi. Perubahan kebiasaan makan anak terutama dari jenis karbohidrat yang manis dan frekuensi makan yang meningkat, akan menyebabkan gigi geligi pada anak menjadi rentan untuk terbentuknya penyakit karies gigi dan menyebabkan gigi menjadi berubang. Tujuan kegiatan pengabdian masyarakat adalah melakukan upaya pencegahan karies gigi dengan edukasi diet karbohidrat pada murid kelas IV dan SD Islam teladan Al Hidayah. Metode pelaksanaan dilakukan dengan beberapa tahapan, pertama pengukuran pengetahuan awal dari siswa-siswi kelas IV yang berjumlah 62 orang, kemudian pemberian edukasi diet karbohidrat sebagai pencegahan karies gigi dan terakhir melakukan pengukuran pengetahuan kembali untuk mengetahui peningkatan pengetahuan. Instrumen untuk mengukur pengetahuan dengan kuesioner dan media edukasi menggunakan booklet. Hasil pelaksanaan pengabdian didapatkan sebelum dilakukan edukasi sebagian rata pengetahuan siswa besar 5,53 (kriteria kurang) dan setelah diberikan edukasi meningkat menjadi 92,11 (kriteria baik). Analisis uji paired sampel test diperoleh p-value sebesar 0,000. Maka dapat disimpulkan edukasi diet karbohidrat dalam pencegahan karies gigi meningkatkan pengetahuan kesehatan gigi pada siswa SD Islam Teladan Al Hidayah Kelurahan Cilandak Timur.
ADDED EFFECT OF PROPRIOCEPTIVE NEUROMUSCULAR FACILITATION TECHNIQUE WITH MAITLAND MOBILISATION TECHNIQUE IN PERIARTHRITIS OF SHOULDER
Authors: V Kulkarni Anjali , Hajare Ruchita
Published: November 2022

Background: Periarthritis of shoulder is a chronic inammatory disorder of shoulder and surrounding soft tissues,
characterized by insidious and progressive pain & restriction of both active and passive glenohumeral joint motion in all
planes. To assess the effect of Proprioceptive Neuromuscular Facilitati Objective: on & Maitland Mobilisation in Periarthritis of shoulder. To
compare the added effect of PNF with Maitland Mobilisation in Periarthritis of shoulder. 30 Patients diagnosed with stage I & II Method:
periarthritis of shoulder were included in the study. Group A which is control group received IFT for 10 minutes, hot pack, Maitland grade 3& 4
end range mobilization for shoulder to improve external rotation, abduction, and exion. Group B which is experimental group received same
conventional treatment as group A along with PNF technique for 3 weeks. At the end of 3rd week, posttest evaluation comprising of active ROM
measurements, strength by taking MMT, & SPADI was taken for both the groups. It was found that ther Results: e was signicant increase in
ROM and decrease in SPADI score within both the groups i. e. control and experimental. Study proved Conclusion: that PNF combined with
conventional treatment helps to improve range of motion and function of shoulder joint in stage I & II of periarthritis of shoulder. So the technique
can be incorporated with the conventional protocol for the management of above condition.
Performance Analysis of IRS-aided Short-Packet NOMA Systems over Nakagami-m Fading Channels
Authors: yuan lei , du qiuyu , yang nan , fang fang , yang nan
Published: November 2022

This paper analyzes the performance of an intelligent reflecting surface (IRS)-aided short-packet communication system over Nakagami-m fading channels. In this system, the base station adopts non-orthogonal multiple access (NOMA) to transmit to a near user and a far user, and its transmission to the far user is aided by the IRS. Both continuous phase shifts (CPSs) and discrete phase shifts (DPSs) are considered for the IRS. By using order statistic and moment matching, we approximate the end-to-end channel gain to follow the Gamma distribution and then derive the approximate closed-form expressions for the average block error rate (BLER) in the high signal-to-noise ratio (SNR) regime and then conduct a refifined analysis of the interplay among the minimum common blocklength, optimal power allocation, and the related parameters of IRS (e.g., the number of elements of the IRS) for achieving target BLERs at two users. Finally, numerical and simulation results demonstrate the accuracy of theoretical analysis. They also show that the IRS-aided short-packet NOMA system outperforms the system without IRS, and that DPSs with 3-bit quantization achieve a similar performance as the optimal CPSs.
Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach
Authors: He Xiangkun , Yang Haohan , Hu Zhongxu , Lv Chen
Published: November 2022

Reinforcement learning holds the promise of allowing autonomous vehicles to learn complex decision making behaviors through interacting with other traffic participants. However, many real-world driving tasks involve unpredictable perception errors or measurement noises which may mislead an autonomous vehicle into making unsafe decisions, even cause catastrophic failures. In light of these risks, to ensure safety under perception uncertainty, autonomous vehicles are required to be able to cope with the worst case observation perturbations. Therefore, this paper proposes a novel observation adversarial reinforcement learning approach for robust lane change decision making of autonomous vehicles. A constrained observation-robust Markov decision process is presented to model lane change decision making behaviors of autonomous vehicles under policy constraints and observation uncertainties.  Meanwhile, a black-box attack technique based on Bayesian optimization is implemented to approximate the optimal adversarial observation perturbations efficiently. Furthermore, a constrained observation-robust actor-critic algorithm is advanced to optimize autonomous driving lane change policies while keeping the variations of the policies attacked by the optimal adversarial observation perturbations within bounds. Finally, the robust lane change decision making approach is evaluated in three stochastic mixed traffic flows based on different densities. The results demonstrate that the proposed method can not only enhance the performance of an autonomous vehicle but also improve the robustness of lane change policies against adversarial observation perturbations.
Requirements and Reference Architecture for MLOps:Insights from Industry
Authors: Kumara Indika , Arts Rowan , Di Nucci Dario , Heuvel Willem Jan Van Den , Tamburri Damian Andrew
Published: November 2022

Machine Learning Operations (MLOps) streamline the lifecycle of machine-learning models in production. In recent years, the topic has picked the interest of practitioners, and consequently, a considerable number of tools and gray literature on architecting MLOps environments has emerged. However, this has created a new problem for organizations: selecting the most appropriate tools and design options for implementing their MLOps environments. To alleviate this problem, this paper proposes a reference architecture and requirements for MLOps by systematically reviewing 58 industrial gray literature articles. Such reference architecture drawn from the state of practice shall aid organizations in making better design and technology choices when embarking on their MLOps journey while providing a technology-independent baseline for further MLOps research. 
Challenge with ambiguity: Interaction-aware Corner Case Generation for the Evaluation of Highly Automated Vehicles
Authors: Wang Xinpeng , Peng Huei
Published: November 2022

Corner case generation is crucial for the safety evaluation of highway automated vehicles (HAVs).  Existing studies have not considered the systematic generation of corner cases for interactive driving scenarios like highway ramp merging or roundabouts entering. We propose an ambiguity-guided adversarial behavior planning algorithm to generate confusing behavior for the primary other road user (PORU) in interactive scenarios. The PORU is modeled as a cost-minimizing agent with hierarchical intentions. The adversarial PORU plans actions to confuse the HAVs by maximizing the ambiguity with respect to its intentions, while also taking nominal behavior planning goals into consideration. Two interactive scenarios are studied: highway merging and pedestrian crossing. A corner case testing scheme is designed and implemented for both scenarios to evaluate the performance of different HAVs comprehensively and objectively.
SpinDrop: Dropout-Based Bayesian Binary Neural Networks with spintronic Implementation
Authors: Ahmed Soyed Tuhin , Danouchi Kamal , Münch Christopher , Prenat Guillaume , Anghel Lorena , Tahoori Mehdi B.
Published: November 2022

Neural Networks (NNs) provide an effective solution in numerous application domains, including autonomous driving and medical applications. Nevertheless, NN predictions can be incorrect if the input sample is outside of the training distribution or contaminated by noise. Consequently, quantifying the uncertainty of the NN prediction allows the system to make more insightful decisions by avoiding blind predictions. Therefore, uncertainty quantification is crucial for a variety of applications, including safety-critical applications. Bayesian NN (BayNN) using Dropout-based approximation provides systematic approach for estimating uncertainty of predictions. Despite such merit, BayNNs are not suitable for implementation in a embedded device or able to meet high-performance demands for certain applications. Computation in-memory (CiM) architecture with emerging non-volatile memories (NVMs) are a great candidate for high performance and low power acceleration BayNNs in hardware. Among NVMs, Magnetic Tunnel Junction (MTJ) offer many benefits, but they also suffer from various non-idealities and limited bit-level resolution. As a result, binarizing BayNNs is an attractive option that can directly implement BayNN into a CiM architecture and able to achieve benefits of both CiM architecture and BayNNs at the same time. Conventional in- memory hardware implementations emphasize conventional NNs, which can only make predictions, does not account for both device and input uncertainty, thus, reducing both reliability and performance. In this paper, we propose for the first time Binary Bayesian NNs (BinBayNN) with an end to end approach (from algorithmic level to device level) for their implementation. Our approach takes the inherent stochastic properties of MTJs as a feature to implement Dropout-based Bayesian Neural Networks. We provide an extensive evaluation of our approach from the device level up to the algorithmic level on various benchmark datasets.
An Iterative Threshold Algorithm of Log-sum Regularization for Sparse Problem
Authors: zhou xin , Liu Xiaowen , Zhang Gong , Jia Luliang , Wang Xu , Zhao Zhiyuan
Published: November 2022

The log-sum regularization has been always drawing widespread attention in the field of sparse problem. However, it brings about a non-convex, non-smooth, and non-Lipschitz optimization problem that is difficult to tackle. To overcome the problem, an iterative threshold algorithm of log-sum regularization is proposed in this paper. Firstly, by deducing the derivative mathematical expression of log-sum function, a property theorem about solution for log-sum regularization is established. Secondly, based on the above theorem, the optimal setting rules of the compromising parameters are elaborated, and the iterative log-sum threshold algorithm is proposed. Thirdly, under the situation that the compromising parameters of log-sum regularization are relatively small, it can be proven that the proposed algorithm converges to a local minimizer of log-sum regularization. Finally, a series of simulations are implemented to examine performance of the algorithm, and the results exhibit that the proposed algorithm outperforms the state-of-the-art algorithms in terms of iterations and precision.
Power Flow Analysis in Unbalanced Distribution Networks Considering High Photovoltaic Production
Authors: Petridis Stefanos , Rakopoulos Dimitrios , Fotopoulou Maria
Published: November 2022

This research paper proposes an advanced method for Power Flow Analysis (PFA) in unbalanced distribution networks considering high Renewable Energy Sources (RES) penetration with special attention to technical and environmental Key Performance Indicators (KPIs). The innovation of the proposed unbalanced power flow algorithm lies on the tree-like approach of the unbalanced network with the use of Backward/Forward Sweep (BFS) methods, which renders the algorithm significantly faster than the usual methodologies. The PFA is applied on the unbalanced IEEE-13 node test feeder including two-axis tracking Photovoltaics (PV) for three different load profiles, i.e., commercial, residential and mixed, for one representative day of the year. The aforementioned cases are compared to each other in terms of voltage deviation, distribution losses, self-consumption, emissions and reverse power flow. Finally, sensitivity analysis is carried out in order to highlight the effect of RES production on the unbalanced distribution network.
Accuracy and efficiency of two control strategies in commanding a robotic laparoscope holder by foot: An experimental study on surgeons’ use pattern
Authors: Yang Yanjun , N Vadivelu Arvind Kumar , Hepworth Jessica , Zeng Yongpeng , Pilgrim Charles , Kulić Dana , Abdi Elahe
Published: November 2022

Using a laparoscope-holding robot in minimally invasive surgery has been shown to improve surgeons' efficiency and operation safety. However, controlling the robot can increase surgeons' cognitive load. Therefore, a suitable interface is critical to ease the control task and reduce surgeons' workload. A foot interface for commanding the robot is common, with two control strategies possible: Decoupled control only allows a single Cartesian axis actuation, known as decoupled commands. Hybrid control enables both a single axis and multiple axes actuation, known as coupled commands. This paper aims to find the most suitable control strategy for foot interfaces by validating two common assumptions in the literature for a laparoscope manipulation task: 1. Decoupled control is believed to have better final laparoscopic view orientation predictability, and 2. Hybrid control is assumed to be more efficient in manipulating the laparoscope. Results from a user study with 11 surgeons and surgeon trainees show that the decoupled control indeed has better predictability than the hybrid control. However, the result does not support assumption 2 with both approaches equally efficient. In addition, we analyze the interface usage patterns and safety when choosing between the coupled and decoupled commands using two surgery-like tasks in a simulator. The results show that decoupled commands are preferred for small adjustments, and coupled commands are preferred for larger motions. No obvious correlation between control safety and command selection is found. Based on the assumptions validation and usage patterns study, a guideline for foot interface control strategy selection is provided. The experiment protocol can be modified for other human-robot interaction studies in surgical and industry applications.
How does the period of oscillation of a cantilever relate with its mass?
Authors: Kurapati Hemasai
Published: November 2022

The aim of this investigation is to determine the relationship between the period of oscillation of an oscillating cantilever and the weight of the said cantilever. Experimentally, this will be accomplished by measuring the period of oscillation of a chosen cantilever as added masses are incremented. The frequency of the cantilever will then be determined through its period of oscillation.
Invisible Supply Chain Attacks Based on Trojan Source
Authors: Buchicchio Emanuele , Grilli Luca , Antonini Diego , Capobianco Eros , Cipriano Salvatore
Published: November 2022

A new class of vulnerabilities, called trojan source, has been recently discovered by Boucher and Anderson. They allow attackers to inject specific Unicode control characters in the source code of a software project, such that what text editors visualize differs from what compilers interpret. In the absence of specific protections, trojan source vulnerabilities can be exploited to launch effective supply chain attacks that appear invisible to developers.

This work describes the state of the art of known trojan source attacks, illustrates two new attack variants involving configuration files and Java code, and describes practical preventive measures. The first variant affects Java platforms and may enable the execution of instructions injected within comments. Whereas the second variant exploits BiDi and homoglyph Unicode symbols within source code and configuration files. We also give several proofs of concept for many popular development platforms and provide a detection tool that can be easily integrated into the build process. 
Switching cell based on Hybrid Switched Capacitor and Modular Multilevel Converter
Authors: De Novaes Yales Rômulo , Soares Marcus Vieira
Published: November 2022

 A switching cell based on Hybrid Switched Capacitor and Modular Multilevel Converters is presented.

Automatic arms voltages clamping are achieved, while the current spikes and the efficiency dependence

on duty cycle can be reduced by a proper design. A Buck type topology simulation and experimental

results are presented and an example of cell application as a single-phase inverter is shown.

 
A Tutorial on the Tracking, Telemetry, and Command (TT&C) for Space Missions
Authors: Modenini Andrea , Ripani Barbara
Published: November 2022

This paper presents a tutorial on the Tracking, Telemetry, and Command (TT&C) for spacecraft and satellite missions. In particular, it provides a thorough summary of the design of the TT&C, starting from elementary system aspects and going down to the details of the on-board TT&C subsystem design, its units, and the physical layer. The paper is then complemented with a description of emerging TT&C techniques and technologies, the standardization framework, and with practical examples of actual spacecraft design of European space missions.

The tutorial here presented is thought for professionals (also in other telecommunication engineering fields) that want to face the challenges and state-of-the-art of the TT&C, and know more about this fundamental function that allows us to daily control and monitor our spacecraft.
Simulation for the fault current limiting operation of REBCO CORC® superconducting cables with different core materials
Authors: Nguyen Linh , Naud Martin , Weiss Jeremy , Pamidi Sastry , Donges Sven A. , Laan Danko van der , Nguyen Doan
Published: November 2022

Simulation for the fault current limiting operation of REBCO CORC® superconducting cables with different core materials
On the Commutative Operation of Approximate CMOS Ripple Carry Adders (RCAs)
Authors: Huang Junqi , Thulasiraman Nandha Kumar , Almurib Haider , Lombardi Fabrizio
Published: November 2022

Approximate cells can be used to design Ripple Carry Adders (RCAs) for realizing approximate addition in energy-efficient CMOS digital circuits. As inputs of approximate cells could be non-commutative in nature, approximate adders may show different output values under a commutative operation, and this may have a significant effect on the generated sum. This paper presents a detailed analysis of the commutative addition in RCAs made of different approximate cells. Initially, the impact of a non-commutative addition (NCA) to RCAs by approximate cells is assessed by exhaustive simulation at adder level. The results show that at most 17% of additions executed using AFA3 suffer from the non-commutative property, while the values for other adder cells can reach 75%~99%. Then, an extensive analysis using images from a publicly available library is performed by comparing three-image additions with two-image additions. As a further evaluation, the adders are assessed in an image denoising application. As expected, the effect of NCA is especially pronounced for some non-commutative adders, such as AA2 and AMA4. NCA is also cumulative with the number of approximate additions, thereby causing a significant variation in the output image quality. In terms of metrics, the largest average difference in mean error distance (DMED) for three-image addition is 5.3 times higher than for two-image addition. Rankings of the non-commutative approximate adders show that AMA3 and AFA1 based adders are the best schemes with respect to commutative addition; they both also show good performance in image denoising.
A Smart Network Intrusion Detection System for Cyber Security of Industrial IoT
Authors: Gunjal Hardik , Patel Preetkumar , Alzhouri Dr Fadi , Ebrahimi Dr Dariush
Published: November 2022

The industrial sector has been making use of machines and sensors having the capability to communicate with each other. This forms a network of Industrial devices which is called Industrial Internet of Things (IIoT). IIoT is an emerging trend that can generate a huge amount of data that is vulnerable to cyber-attacks. In IIoT network, data and control instructions flow through Supervisory Control and Data Acquisition (SCADA) system. A Network Intrusion Detection System (NIDS) which can monitor realtime network traffic could be deployed between SCADA and the IIoT devices to detect cyber-attacks. NIDS with Deep Learning (DL) algorithms require large dataset for which CSE-CIC-IDS2018 and UNSW-NB15 dataset is used. The paper compares a Multi-Layer Perceptron(MLP), a Fully Connected Deep Neural Network (FCNN), and Convolutional Neural Network (CNN) on CSE-CIC-IDS2018 and UNSW-NB15 with XGBoost for feature selection.
Edge AI Face Recognition for Public Transport Fare Payment
Authors: Rusoke Blaise Marvin , Musinguzi Denis , Miyingo Simon Peter , Katumba Andrew
Published: November 2022

 Face Recognition technology is chiefly concerned with accurately re-identifying individuals through the use of mathematical face representations. It presents a window of opportunity for the introduction of a fast, automated seamless and easy-to-deploy form of biometric technology. In this research, we design a fast,easy-to-use, and privacy-oriented contactless payment system for public transportation that chiefly makes use of face recognition and internet of things technologies. We demonstrate a one-shot face recognition model and also prepare and test it for real-time inference on the edge. Our system makes use of a Siamese Model built on top of the Inception-Resnet V1 architecture with accuracy, precision and recall values of 93.81%, 90.91% and 97.35% on our validation set. The model was deployed on a Raspberry Pi 4 Model B with an Intel Neural Compute Stick 2. Inference was performed through the inference engine API of the OpenVINO toolkit on the Neural Compute Stick plugged into the Raspberry Pi. The system is composed of three other subsystems, i.e. the edge device, cloud database and user interface subsystems which work together to ensure that payment is complete in under 2 seconds. 
FARANE-Q: Fast Parallel and Pipeline Q-Learning Accelerator for Configurable Reinforcement Learning SoC
Authors: Sutisna Nana , Ilmy Andi M. R. , Syafalni Infall , Mulyawan Rahmat , Adiono Trio
Published: November 2022

This paper proposes a FAst paRAllel and pipeliNE Q-learning accelerator (FARANE-Q) for a configurable Reinforcement Learning (RL) algorithm implemented in a System on Chip (SoC). The proposed work offers flexibility, configurability, and scalability while maintaining computation speed and accuracy to overcome the challenges of a dynamic environment and increasing complexity. The proposed method includes a Hardware/Software (HW/SW) design methodology for the SoC architecture to achieve flexibility. We also propose joint optimizations on the algorithm, architecture, and implementation to obtain optimum (high efficiency) performance, specifically in energy and area efficiency. Furthermore, we implemented the proposed design in a real-time Zynq Ultra96-V2 FPGA platform to evaluate the functionality with an actual use case of smart navigation. Experimental results confirm that the proposed accelerator FARANE-Q outperforms state-of-the-art works by achieving a throughput of up to 148.55 MSps. It corresponds to the energy efficiency of 1747.64 MSps/W per agent for 32-bit and 2424.33 MSps/W per agent for 16-bit FARANE-Q. Moreover, the proposed 16-bit FARANE-Q outperforms other related works by an improvement of at least 1.23× in energy efficiency. The designed system also maintains an error accuracy of less than 0.4% with optimized bit precision for more than eight fraction bits. The proposed FARANE-Q also offers a speed up of processing time up to 1795× compared to embedded SW computation executed on ARM Zynq processor and 280× of computation of full software executed on i7 processor. Hence, the proposed work has the potential to be used for smart navigation, robotic control, and predictive maintenance.
Power Plant Induced-Draft Fan Fault Prediction using Machine Learning Stacking Ensemble
Authors: Emmanuel Tlamelo , Mpoeleng Dimane , Maupong Thabiso
Published: November 2022

The data used our analysis is from an ID fan which is part of a coal powered plant that produces a target output of 117W. The fan is placed at the outlet of the boiler. The fan runs at an air flow rate of 5365 Am3/min , with a density of 0.85 kg/m3, diameter of 2440 mm , with a total pressure of 505 mmAq and a speed of 989 rpm. The fan impeller is driven by a 650 kW electric induction motor (6600 V 50 Hz 3 Phase) with a speed of 1000 rpm.
Analysis and Damping of Low-Frequency Oscillation for DC-Link Voltage-Synchronized VSCs
Authors: Zhao Liang , Jin Zheming , Wang Xiongfei
Published: November 2022

The power-synchronization control has been proven effective to enhance the stability of voltage-source converters (VSCs) in weak grids. This method can be realized with the dc-link voltage control for VSCs with regulated dc-link dynamics, which leads to the dc-link voltage-synchronization control. This paper analyzes the small-signal stability of dc-link voltage-synchronized VSCs, considering the effect of constant power load/source at the dc link. It is found that low-frequency oscillations may arise with dc-link constant-power dynamics. To dampen the oscillation, an active damping control method based on the active power feedforward (PFF) control is proposed. A notch filter tuned at the synchronous frequency is embedded in the PFF loop to avoid the adverse effect on synchronous oscillation. Design guideline for the PFF control parameters is formulated. Experimental tests of VSC operating in the rectifier and the inverter modes are performed. The results validate the theoretical analysis and the effectiveness of the control approach. 
FedRadar: Federated Multi-Task Transfer Learning for Radar Based Internet of Medical Thing
Authors: Jiang Xikang , Zhang Jinhui , zhang lin
Published: November 2022

Owing to increasing connected medical devices and rapid development of deep learning technologies, the Internet of Medical Things (IoMT) has attracted great attention for healthcare monitoring with intelligent sensors. Radar serves as a non-contact healthcare device, continuously measuring human's vital signs and behavior to provide daily and comprehensive long-term record on health status. However, radar sensor data collected from various users and families usually involve sensitive personal information, while traditional deep learning technologies using IoMT radar data may present high privacy leakage risks. This paper proposes FedRadar, a novel federated multi-task transfer learning framework for radar-based heartbeat rate and activity monitoring in IoMT to solve these challenges. It deals with the decentralized structure, training personalized multi-task models collaboratively, combining the shared relevance knowledge of human's physiological information while keeping personal radar data locally for privacy protection. First, the multi-task neural network is built on the spatial-temporal radar data to capture the potential relationship and shared representations between human's vital sign and activity. Furthermore, the federated learning with knowledge transfer scheme is designed to achieve personalized local models by transferring coarse relevant features and keeping fine-grained individual information. Extensive experiments demonstrate the effectiveness and robustness of FedRadar with 2.8% and 2.5% superior than local training model respectively on the accuracy of heartbeat rate estimation and activity classification in realistic constructed radar datasets. In addition, FedRadar is extensible and suitable to continuously monitor multiple health indicators with privacy protection in IoMT. The FedRadar codes and constructed radar datasets are available on https://github.com/bupt-uwb/FedRadar.
Hybrid model predictive control for the emergency evacuation robot under the presence of disturbances and dynamic obstacles
Authors: Khan Subhan , Guivant Jose
Published: November 2022

Autonomous vehicles can be used for evacuations, particularly for assisting disabled people; they can also be used for moving animals and goods. In those cases, the platform must deal with partially known infrastructure and other context characteristics, including dynamic obstacles. The destination may not be unique, as multiple safe destinations may be feasible. This paper proposes a hybrid model predictive control (HMPC) approach for performing trajectory optimization. The approach exploits the available global cost-to-go (CTG) function and a model of the platform dynamics, in addition to awareness information of the nearby context. The CTG function implicitly allows the selection from multiple destinations in the context of operation. First, the Global 2D CTG is generated and periodically updated at low frequency using, in this case, pseudo priority queues (PPQ) based Dijkstra algorithm, which can generate optimal CTG functions of large maps, requiring low processing cost. Secondly, an MPC process based on stochastic dynamic programming  (SDP), running at high frequency, generates the actual control actions, in real-time, based on the last available CTG information, in combination with a model of the platform dynamics and the perceived description of the surrounding area, including static, dynamic objects, skid-slip effects. Finally, simulations are performed to validate the proposed planning and control scheme.
A Facial Recognition and Detection System using openVC
Authors: Goel Yaman , Gupta Ishu , Rani Pooja , Singh Ashutosh Kumar
Published: November 2022

A novel scheme is proposed to process the real-time images according to requirements, captured in a computer web camera. By making use of open source computer vision library (OpenCV) and applying its in-built functions, we can easily detect human faces and then match them against the training sets (face images stored in the database) to recognize a human’s identity. Image handling and processing are done using basic library methods. These library functions are able to capture images from a webcam, create windows to hold the images at run time, save them in the database and process them to check exact likeness. CascadeClassifier is used for face detection, and HaarCascade is used for this purpose. FaceRecognizer class is used for face recognition. EigenFaces, FisherFaces and Local Binary Patterns are the basic methods that can be used for this. Images are stored in form of a CSV database.